Daily Digest

Loading brief…

• [Bug Report] Newton: CUDA 700 (illegal memory access) on first step after hard reset — stale CollisionPipeline references freed model buffers

  github:isaac-sim/IsaacLab7/13/2026crashes-stabilityisaac-labnewtoncuda-700resetlifecyclecollision-pipeline

  On Isaac Lab’s Newton backend, a hard reset can crash with CUDA error 700 on the first step because CollisionPipeline reuses cached references to a freed/re-finalized Newton Model. Under GPU memory pressure, the next collide dereferences freed or mismatched de

  ⚡ Lifecycle correctness across reset/reinit is mandatory for long-running training; stale GPU references will cause catastrophic job failures.

• Lower conditional merges to predecessor copies

  github:NVIDIA/warp7/13/2026crashes-stabilitywarpcudacodegencontrol-flowundefined-behaviorillegal-memory-access

  Warp lowering of conditional merges can leave operands uninitialized along some paths, and a nested case leaked a branch value into its sibling branch. Under register pressure this surfaced as illegal CUDA memory access.

  ⚡ Warp codegen correctness under control-flow is foundational—any undefined behavior undermines GPU safety for simulation and learning workloads.

• `wp.tile_load_indexed` out-of-bounds read for neg idx

  github:NVIDIA/warp7/13/2026crashes-stabilitywarpcudamemory-safetytileout-of-boundskernels

  wp.tile_load_indexed performs an out-of-bounds read when given a negative index. Upper-bound OOB is predicated to zero, but negative indices can dereference before src.data instead of producing 0.

  ⚡ GPU primitives must be memory-safe by construction; boundary-condition bugs will surface as hard-to-debug corruption in larger pipelines.

• [BUG] Crash with CUDA error 700 when switching examples with Visualization options

  github:newton-physics/newton7/9/2026crashes-stabilitynewtonviewervisualizationcuda-error-700ptx-loadexamples

  Switching examples after enabling certain visualization options (Show Joints/Contacts/Inertia Boxes) can crash with Warp CUDA error 700, leading to PTX module load failures. This occurs when moving from robot_g1 to admm_contact_solver.

  ⚡ Visualization toggles and example switching must be crash-proof; otherwise interactive debugging becomes unsafe and unusable.

• [Bug Report] reset() returns stale camera images when fabric is enabled - num_rerenders_on_reset re-renders the old transforms

  github:isaac-sim/IsaacLab7/7/2026sensors-perceptionv6.0.0isaac-labisaac-simfabricresetcamerarl-training

  With Isaac Sim 6.0.0 and Isaac Lab manager-based envs using `use_fabric=True`, `reset()` can return camera images from before the reset even though state observations are post-reset. `num_rerenders_on_reset` appears to rerender old transforms, causing the firs

  ⚡ If episode resets can return stale camera observations, vision-based policy training becomes unreliable and undermines trust in the platform’s RL environment semantics.

• [Bug Report] Failing contact sensing against prims with multiple colliders

  github:isaac-sim/IsaacLab7/8/2026▲ 1crashes-stabilityv3.0crashrenderinghardwareintegrationisaac-simisaac-lab

  Isaac Lab 3.0 regression: contact sensors fail when the target prim has multiple colliders, producing PhysX tensors filter pattern errors. Expected one match but found two, and subsequent filters match none.

  ⚡ Contact sensing must be robust to common asset authoring patterns (multiple colliders) because it underpins reward signals and safety metrics.

• Unable to flash Thor Devkit

  nvidia-forum:robotics-edge-computing7/3/2026▲ 1deploymentjetson-thorflashingdevkitrecovery-modejetpack

  Forum post says they are unable to flash a Thor Devkit. With no details provided, this likely blocks any further development on the device.

  ⚡ If flashing and recovery workflows are brittle, it directly slows Thor adoption and increases perceived platform risk for OEMs.

• Headless rendering hangs (~10s/frame) — viewport window creates a surfaceless render product that deadlocks RTX sync schedule

  github:isaac-sim/IsaacSim7/10/2026crashes-stabilityv6.0.0crashrenderinghardwareintegrationisaac-simwarp

  In Isaac Sim 6.0.0 headless (`--no-window`), rendering paths that call `app.update()` stall at ~10 seconds per frame after a viewport creates a surfaceless render product. The render fence never signals in headless mode, blocking RTX sync until an internal tim

  ⚡ Headless rendering is a core deployment path for synthetic data and CI; any render-schedule deadlock makes the platform non-viable in containers.

• Proposal: remove quadratic native island-discovery scratch for large tree counts

  github:google-deepmind/mujoco7/9/2026training-infrarlusddeploymentmujocowarphumanoid

  MuJoCo’s native island discovery uses quadratic temporary structures (ntree x ntree adjacency and column-index arrays) even for sparse incidence. Proposal is to remove the quadratic scratch by constructing connected components directly from constraint/tree inc

  ⚡ Large-scale robotics scenarios require solvers with sub-quadratic scratch behavior; quadratic temporary memory becomes a hidden scaling wall.

• [REQ] Make imported mesh SDF cooking configurable

  github:newton-physics/newton7/9/2026crashes-stabilitycrashusddeploymentdxdocsnewton

  Mesh SDF generation settings are partially configurable and inconsistent across USD/URDF/MJCF imports. Request is to expose configuration paths for Mesh.build_sdf() settings and avoid import paths that drop sdf_* options before expensive cooks occur.

  ⚡ Consistent, configurable mesh SDF cooking across formats is key for predictable collision fidelity and cost control in asset ingestion.

• [REQ] Make automatic USD mesh approximation configurable

  github:newton-physics/newton7/9/2026training-infrarlusddxdocsnewton

  Automatic USD mesh approximation calls ModelBuilder.approximate_meshes() without forwarding method-specific settings. This blocks users from applying required settings (e.g., CoACD threshold migration) through ModelBuilder.add_usd() while respecting USD-author

  ⚡ USD-driven collider approximation must allow method-specific knobs; otherwise migrations and fidelity fixes are blocked at the ingestion layer.

• [REQ] Recover a sinkage-dependent contact footprint for plane-cylinder pairs

  github:newton-physics/newton7/6/2026crashes-stabilitycrashintegrationnewtonwarp

  Request to preserve a sinkage-dependent distributed contact footprint for plane–cylinder pairs instead of collapsing to line/rim contact. Proposed opt-in narrowphase options route these pairs to GJK/MPR to get penetration-depth-dependent contact sets.

  ⚡ Contact patch modeling for common shape pairs (e.g., cylinder-on-plane) impacts traction and stability, which are critical for mobile manipulation and locomotion benchmarks.

• [BUG] test_multiphysics.example_proxy_joint_gripper_cuda_0 is flaky

  github:newton-physics/newton7/3/2026hardware-integrationhardwarenewton

  A CUDA multiphysics example test intermittently fails a tight center-drift tolerance (0.06), passing on one CI run and failing on another with the same SHA. This points to nondeterminism or overly strict thresholds in a newly added example rather than a code r

  ⚡ RL and robotics teams will distrust simulation correctness and CI if physics tests are flaky under realistic GPU execution variance.

• Fused Orin NX R36.4.4 -> R36.5 bootloader-only OTA capsule hard-hangs before Linux

  nvidia-forum:robotics-edge-computing7/2/2026deploymentjetson-orin-nxotabootloaderuefir36-otafused-device

  Forum post reports that a bootloader-only OTA capsule update from R36.4.4 to R36.5 hard-hangs before Linux on a fused Orin NX. No further details are provided.

  ⚡ Robust OTA/boot reliability is a prerequisite for fleet robotics; bootloader-only OTA hangs can halt production rollouts.

• Jetson Orin NX 16GB Bricked After Failed JetPack 7.2 Flash - No UART Output, No LED, Force Recovery Not Detected

  nvidia-forum:robotics-edge-computing7/2/2026deploymentjetson-orin-nxjetpack-7-2flashingbricked-devicerecovery-mode

  Forum post reports an Orin NX 16GB bricked after a failed JetPack 7.2 flash, with no UART output, no LED, and force recovery not detected. This indicates a severe recovery/flash robustness issue.

  ⚡ Flash failures that brick devices create strong negative sentiment and support cost; safer flashing and recovery detection are critical for JetPack adoption.

• Waiting for target to boot-up... Error while flashing Jetson Orin NX

  nvidia-forum:robotics-edge-computing7/2/2026deploymentorin-nxflashingsdk-managerbootrecovery-mode

  Flashing Jetson Orin NX fails with 'Waiting for target to boot-up' error, blocking setup.

  ⚡ Flashing reliability remains a top-of-funnel issue; failures here prevent any downstream Physical AI stack adoption.

• [Bug Report] Headless video recording pumps Kit on every environment step

  github:isaac-sim/IsaacLab7/1/2026renderingv3.0.0renderinghardwareenv-apiisaac-simisaac-lab

  In Isaac Lab 3.0.0-beta2, sparse headless video recording can cause Kit to be pumped on every environment step render interval, adding unnecessary rendering overhead compared to Isaac Lab 2 behavior.

  ⚡ Headless rendering efficiency is critical for scaling RL training throughput and cost on Isaac Lab.

• Redesign USD schema resolver precedence and provenance

  github:newton-physics/newton7/1/2026asset-pipelineusdmujoco

  SchemaResolverManager does not consistently model precedence across authored values, importer defaults, and resolver mapping defaults, and lacks a clear applicability contract and provenance tracking.

  ⚡ A principled USD schema resolver with provenance is key to predictable import behavior across diverse robotics asset sources.

• [Bug Report] Repeated sensor data access re-runs backend work when no environments are outdated

  github:isaac-sim/IsaacLab7/1/2026crashes-stabilityv2.3.2crashrlrenderinghardwareisaac-simisaac-lab

  Isaac Lab 3.0.0-beta2 regressed sensor caching: repeated .data access re-enters backend update work even when no environments are outdated, unlike 2.3.2.

  ⚡ Avoiding redundant backend work on sensor reads is important to keep simulation step costs predictable in large vectorized training.

• Compare unordered geom fields in menagerie tests

  github:newton-physics/newton7/1/2026othermujoconewton

  Menagerie tests skip all geom fields due to broad substring-based skip logic, preventing intended unordered geom comparisons from running and reducing coverage.

  ⚡ Better test coverage for asset/model parity reduces the risk of silent physics behavior drift across imports.

• System cannot be started

  nvidia-forum:robotics-edge-computing7/1/2026hardware-integrationjetsonbootstartup-failuredeploymentsupport

  Forum post titled “System cannot be started” provides no body details in the corpus. It suggests a device that fails to boot or start its OS/services.

  ⚡ Boot failures are a critical edge friction point; improving diagnostics and recovery paths directly reduces deployment risk.

• New jetson orin nano won’t boot

  nvidia-forum:robotics-edge-computing6/30/2026hardware-integrationjetsonorin-nanoboot-failurebringuphardware-support

  Forum post titled “New jetson orin nano won’t boot” includes no body in the corpus. It indicates a hard boot failure on new hardware.

  ⚡ Out-of-box boot reliability on developer kits is foundational to the edge robotics funnel.

• Python-scope calls reject wp.Function parameters

  github:NVIDIA/warp7/12/2026▲ 1tooling-dxwarppython-apitype-inferencewp-funcdeveloper-experiencefunctional-programming

  Calling an @wp.func from Python fails when a parameter is annotated as wp.Function, even though the same call works inside a kernel. The error indicates Warp cannot infer the argument type for a Function object in Python scope.

  ⚡ Ergonomic parity between Python-scope and kernel-scope function calls is key for rapid prototyping and testability of Warp logic.

• [Bug Report] Duplicate imported classes

  github:isaac-sim/IsaacLab7/14/2026tooling-dxisaac-labpython-importsimulationappreproducibilityconfigstype-system

  Depending on SimulationApp startup/import order, Isaac Lab classes can be imported twice and end up with mismatched parent classes. This breaks type checks (e.g., config objects failing isinstance) and can cause subtle downstream failures.

  ⚡ Import/initialization determinism in Isaac Lab needs hard guarantees to keep large-scale training and evaluation pipelines reproducible.

• MjSpec.to_xml changes joint/state-vector ordering after attach round-trip

  github:google-deepmind/mujoco7/14/2026integrationmujocomjcfmodel-editingroundtripstate-vectorjoint-ordering

  MuJoCo's MjSpec.to_xml() can change joint/state-vector ordering after exporting and re-importing modular MJCF using asset/model and attach. This breaks assumptions about stable state ordering across a round-trip.

  ⚡ Round-trip integrity across modular model composition is a prerequisite for trustworthy sim-based validation and long-lived robot assets.

• Handle empty mesh decomposition results as failures

  github:newton-physics/newton7/14/2026asset-pipelinenewtonasset-importconvex-decompositionvhacdcoacderror-handling

  approximate_meshes() silently treats an empty CoACD/V-HACD decomposition as success and leaves meshes unchanged. It neither warns nor raises even when raise_on_failure=true, violating the documented fallback/contract.

  ⚡ Robust convex decomposition with explicit failure modes is critical for scalable asset ingestion and reliable physics behavior.

• USD decoder can change inferred mass/inertia for explicit body inertials and visual-only geoms

  github:google-deepmind/mujoco7/13/2026integrationmujocousdmass-propertiesinertiaroundtripinterchange

  MuJoCo's USD decoder can change inferred mass/inertia even when bodies have explicit inertials and there are visual-only geoms. This breaks MJCF->USD->MuJoCo validation that compares compiled inertials and deterministic rollouts.

  ⚡ USD interchange must preserve physical parameters deterministically; otherwise cross-tool pipelines cannot be trusted for regression testing.

• Durable articulation ordering replay contract: checkpoint metadata and a from_checkpoint resolution mode

  github:isaac-sim/IsaacLab7/13/2026training-infraisaac-labcheckpointingreplayarticulation-orderingcross-backendperformance

  Isaac Lab's articulation ordering relies on symbolic convention inference at env creation, which is fragile to backend default changes and adds ~9.3% startup cost. The issue proposes storing ordering metadata in checkpoints and adding a from_checkpoint resolut

  ⚡ Checkpoint replay must encode concrete ordering/permutation metadata to guarantee cross-backend reproducibility and reduce startup overhead.

• [BUG] Newton Warp renderer leaks deformable geometry across envs in multi-env tiled camera output

  github:newton-physics/newton7/13/2026renderingnewtonwarp-rendererrenderingsynthetic-datamulti-envdeformables

  Newton Warp renderer leaks deformable geometry across environments in multi-env tiled camera output, causing env_3 geometry to appear in env_0. The root cause is deformable raytracing sourcing global particle buffers without per-world scoping.

  ⚡ Multi-env rendering isolation is critical for synthetic data and tiled cameras; cross-world leakage invalidates datasets and visual regression.

• [BUG] Stabilize and share signed twist-angle reconstruction

  github:newton-physics/newton7/9/2026crashes-stabilitynewtonwarpquaternionsjoint-coordinatesnumerical-stabilitysmall-angles

  Newton reconstructs signed revolute joint coordinates using acos(twist[3]) which becomes zero in float32 for small rotations, creating a dead zone and discontinuity. The signed information exists in the quaternion vector but is lost by the acos path.

  ⚡ Kinematics reconstruction needs stable signed-angle extraction to avoid control dead zones that degrade manipulation/locomotion performance.

• Flaky test recurrence: test_stacked_small_primitive_cubes_hydroelastic_mujoco_warp_cuda_0

  github:newton-physics/newton7/9/2026crashes-stabilitynewtonciflaky-testsmujocowarpcuda

  A previously tracked flaky GPU test failed again with intermittent 'nefc overflow' warnings suggesting increasing njmax. The recurrence indicates instability or nondeterminism in hydroelastic MuJoCo Warp CUDA testing.

  ⚡ Deterministic, warning-free test baselines are important because solver buffer overflows can mask real regressions and destabilize CI.

• Flaky test: test_mujoco_hydroelastic_penetration_depth_cuda_0

  github:newton-physics/newton7/9/2026crashes-stabilitynewtonciflaky-testsmujocohydroelasticcuda

  GPU test test_mujoco_hydroelastic_penetration_depth_cuda_0 is flaky, failing with a ratio too low in one merge-queue run while later passing. The instability needs investigation to make outcomes reliable.

  ⚡ GPU test reliability is a prerequisite for fast iteration; nondeterministic physics metrics undermine confidence in improvements.

• [BUG] Inverse dynamics tests flaky

  github:newton-physics/newton7/9/2026crashes-stabilitynewtonciflaky-testsinverse-dynamicscuda

  Inverse dynamics tests are intermittently failing in the merge queue and are reported as flaky. The failures need root-cause analysis to stabilize CI coverage.

  ⚡ Inverse dynamics correctness and determinism are essential building blocks for control stacks and differentiable robotics workloads.

• Make deterministic kernel record bounds maintainable

  github:newton-physics/newton7/9/2026training-infranewtondeterminismatomicsmemory-allocationkernels

  Deterministic kernel record bounds (deterministic_max_records) are fragile: under-sizing breaks correctness while conservative bounds waste memory. The issue requests a maintainable way to derive/declare bounds with regression coverage.

  ⚡ Determinism infrastructure must scale with kernel evolution, otherwise memory over/under-allocation becomes a recurring source of regressions.

• parse_usd: custom-frequency traversal does not honor ignore_paths

  github:newton-physics/newton7/8/2026asset-pipelinenewtonusdimportparse-usdignore-pathsapi-consistency

  parse_usd's custom-frequency traversal does not honor ignore_paths while other traversals do. This causes prims that should be ignored to be processed during the custom-frequency pass.

  ⚡ Import filtering must behave consistently across traversal modes to keep large USD stages manageable and reproducible in automated pipelines.

• Support deformable (cloth and soft body) resets in SolverVBD.reset()

  github:newton-physics/newton7/8/2026feature-requestsnewtonvbdresetdeformablesclothsoft-body

  SolverVBD.reset() currently resets rigid bodies, joints, and cables but explicitly does not reset deformables (cloth/soft bodies). The request is to support masked deformable resets by copying model particle state back into solver state.

  ⚡ First-class reset semantics for deformables are required to support RL-style episodic training and reproducible benchmarking with cloth/soft bodies.

• [BUG] test_reset_functionality_elliptic_cuda_0 is flaky

  github:newton-physics/newton7/8/2026crashes-stabilitynewtonciflaky-testsresetmujoco-warpcuda

  test_reset_functionality_elliptic_cuda_0 is flaky, intermittently hitting the solver's 100-iteration cap after resetting state. Failures occur in merge-queue GPU runs and correlate with a MuJoCo Warp solver upgrade noted in the report.

  ⚡ Reset determinism in physics tests is essential because reset loops are the backbone of episodic learning and regression testing.

• SDK manager is stuck

  nvidia-forum:robotics-edge-computing7/1/2026▲ 2tooling-dxsdk-managerjetsoninstallflashingonboarding

  Forum post “SDK manager is stuck” includes no body details in the corpus. It indicates users are still encountering blocking installation/flash workflow problems.

  ⚡ Installer reliability (SDK Manager) is a critical first-mile experience that can gate adoption.

• Honor pre-existing `PM_PYTHON_EXT` in Packman environment

  github:NVIDIA/warp7/8/2026▲ 1integrationintegrationwarp

  Warp's build script overwrites any pre-existing `PM_PYTHON_EXT` when constructing the Packman environment, preventing users from pointing Packman at a different Python. The fix is to reverse the merge order so existing environment values are honored.

  ⚡ Cross-compilation and hermetic build flows require build tooling to respect user-specified interpreters and environments to support edge platforms cleanly.

• Problems with RT-Detr Quickstart

  nvidia-forum:robotics-edge-computing7/2/2026▲ 1docs-onboardingrt-detrquickstartdocsonboardingperception

  Forum post reports problems with the RT-Detr Quickstart. No details are provided, implying the quickstart is not working as expected.

  ⚡ If quickstarts fail, adoption stalls; perception model onboarding (RT-DETR) needs stronger end-to-end validation across Jetson/ROS stacks.

• Investigate VBD cloth quality and performance gap in teleoperation

  github:newton-physics/newton7/14/2026crashes-stabilitynewtonteleoperationclothvbdphysxprofiling

  A Newton teleoperation workload with two-way coupled MJWarp robot and VBD cloth runs ~10+ FPS versus 18–20 FPS on PhysX after initial optimization. The hypothesis is VBD needs more substeps for comparable cloth quality, requiring profiling to isolate physics c

  ⚡ Teleop workloads expose real-time physics/performance gaps that will directly impact interactive robot development and validation loops.

• Hydroelastic contact uses a single-body secant for `(k, φ₀)` instead of the series gradient

  github:newton-physics/newton7/13/2026manipulationnewtonhydroelastic-contactcontact-modelingcompliancesdfsolver-stability

  Newton hydroelastic contact forms (k, φ0) for penetrating faces using a single-body secant from one SDF rather than the series gradient described in the referenced velocity-level pressure-field model. This may yield incorrect solver parameters even if face for

  ⚡ Accurate compliant contact parameterization is key to stable contact-rich manipulation and to matching real dynamics across simulators.

• [BUG] Newton-nut_bolt_sdf example QA failure

  github:newton-physics/newton7/13/2026manipulationnewtonexamplescontact-richthreaded-assemblyxpbdmujoco-solver

  Newton nut_bolt_sdf example fails QA because nuts move jitterily instead of slow and controlled under both xpbd and mujoco solvers. No stderr or crash occurs, but expected physical behavior is not met.

  ⚡ Contact-rich threaded assembly is a high-sensitivity regression target; instability here signals gaps in solver/contact tuning for manipulation.

• [BUG] Newton-cloth_poker_cards example QA failure

  github:newton-physics/newton7/13/2026crashes-stabilitynewtondeformablesclothstabilityperformanceqa

  Newton cloth_poker_cards example fails QA: the card stack remains bouncy and never settles after impact. Performance is ~2.5 FPS on an RTX 3080 Laptop GPU.

  ⚡ Deformable stability and throughput are gating for synthetic data generation and interactive workflows that rely on real-time preview.

• [BUG] Newton example replay_viewer failed QA testing

  github:newton-physics/newton7/13/2026crashes-stabilitynewtonreplayhumanoidbroadphasecontact-buffersdeterminism

  Newton replay_viewer example fails QA because replayed humanoid bodies penetrate/fall through the ground. The recording run emitted repeated broadphase overflow/contact-capacity warnings, suggesting insufficient buffers as a possible cause.

  ⚡ Replay determinism requires capacity planning and robust contact/broadphase handling, or recorded artifacts won’t be trustworthy for regression.

• [BUG] Newton-basic_shapes example (VBD variant) not showing realistic friction behavior

  github:newton-physics/newton7/13/2026crashes-stabilitynewtonvbdxpbdfrictionphysics-validationexamples

  Newton basic_shapes passes under xpbd but fails under vbd because ground friction appears effectively absent for non-round objects, causing ice-like sliding. This contradicts expected behavior in the sample.

  ⚡ Friction realism must be consistent across solvers; otherwise task transfer and user trust degrade for manipulation and locomotion benchmarks.

• custom @wp.func_grad that needs more shared memory than its forward

  github:NVIDIA/warp7/11/2026renderingrenderinghardwarewarp

  Warp under-allocates shared memory for a custom backward kernel when the backward requires more shared memory than the forward. This leads to out-of-bounds shared memory writes and CUDA error 700, while CPU appears to tolerate it.

  ⚡ Differentiable simulation workloads need reliable backward-kernel resource accounting, or CUDA-only failures will erode trust in GPU-first pipelines.

• Make the copy "Incompatible array data types" error show data types

  github:NVIDIA/warp7/10/2026otherwarp

  Warp’s wp.copy type mismatch error does not show the source and destination dtypes. Users must add extra debugging to determine what types are incompatible.

  ⚡ Improving error observability in core compute libraries reduces iteration time and support load for robotics developers.

• Fix freeing memory while a conditional body graph is captured

  github:NVIDIA/warp7/10/2026renderingrenderinghardwarewarp

  Freeing a CUDA array while capturing a conditional body graph can add a mem-free node to the wrong CUDA graph. This triggers cudaGraphAddMemFreeNode failures (cudaErrorInvalidValue) and breaks capture workflows.

  ⚡ Graph capture correctness is foundational for performant robotics stacks; capture-edge bugs can negate the value of graph-based acceleration.

• Add a design document for API Capture and CPU Graphs

  github:NVIDIA/warp7/10/2026training-infrarlhardwaredocsnewtonwarp

  Users request a design document covering API Capture, serialized .wrp graphs, and CPU capture/replay. The feature set has expanded enough that code and user guide usage examples are not sufficient to understand behavior and constraints.

  ⚡ As Warp’s capture/graph system grows, lack of design-level documentation becomes a scaling bottleneck for adoption and ecosystem contributions.

• IsaacSim ERROR_OUT_OF_DEVICE_MEMORY on Nvidia L4 GCP Setup

  github:isaac-sim/IsaacSim7/10/2026asset-pipelineusdrenderinghardwareintegrationisaac-sim

  User hits ERROR_OUT_OF_DEVICE_MEMORY on a GCP setup using an NVIDIA L4 while following the recommended Isaac Sim cloud setup guide. The issue occurs with both compiled-from-source and precompiled binaries, preventing progress.

  ⚡ Cloud GPU deployment needs clearer memory sizing and guardrails, or Isaac Sim adoption stalls at first-run failures.

• [BUG] Resetting example admm_contact_solver leads to illegal memory access

  github:newton-physics/newton7/10/2026crashes-stabilitycrashrenderinghardwarenewtonwarp

  The `admm_contact_solver` example sometimes crashes when clicking the UI "Reset" button, with Warp CUDA error 700 illegal memory access. The crash is intermittent and can occur after several resets.

  ⚡ UI-driven reset/switch paths must be hardened; intermittent illegal memory accesses are especially damaging for developer trust in simulation tooling.

• [BUG] add_triangles misaligns tri_areas after filtering degenerate elements

  github:newton-physics/newton7/10/2026renderingrenderingnewtonwarp

  ModelBuilder.add_triangles() filters degenerate faces but keeps tri_areas unfiltered, misaligning areas with stored triangles. This causes valid triangles to read the wrong (e.g., zero) area and can also produce length errors after partially mutating core arra

  ⚡ Geometry import correctness (including per-element attributes) is essential for reliable SDF/contact behavior and consistent downstream simulation.

• [BUG] add_particles accepts inconsistent array lengths and produces invalid models

  github:newton-physics/newton7/10/2026hardware-integrationhardwarenewtonwarp

  ModelBuilder.add_particles() allows inconsistent array lengths across positions/velocities/masses/etc., producing an invalid model that still finalizes. This can yield non-finite state on CPU and potential out-of-bounds reads on CUDA; inputs should be validate

  ⚡ Model builders must be fail-fast and structurally consistent to keep physics stable and avoid GPU out-of-bounds reads in production pipelines.

• [BUG] ArticulationView accepts invalid masks that can trigger CUDA illegal memory access

  github:newton-physics/newton7/10/2026renderingrenderinghardwarenewtonwarp

  ArticulationView accepts invalid boolean masks without validating shape/device, and a subsequent kernel may read out of bounds. An empty CUDA mask can trigger CUDA illegal memory access (error 700) and poison the CUDA context.

  ⚡ Robust input validation in high-level views is critical to prevent CUDA context-poisoning crashes that disrupt long-running training jobs.

• [BUG] Examples of modifying ViewerGL camera speed fail due to _cam_speed being moved to ViewerGUI

  github:newton-physics/newton7/9/2026hardware-integrationhardwaresensorsnewtonwarp

  Examples that adjust ViewerGL camera speed fail because _cam_speed moved from ViewerGL to ViewerGUI in Newton v1.3.0. The example uses hasattr checks that no longer find the attribute, making small-scale scenes hard to view.

  ⚡ Keeping examples in sync with API changes is essential to reduce onboarding friction and avoid users copying broken patterns.

• Stabilize `wp.quat_twist_angle()` near zero and add a signed variant

  github:NVIDIA/warp7/9/2026hardware-integrationhardwaredocsnewtonwarp

  wp.quat_twist_angle() uses acos on the twist scalar component, which rounds to 1.0 in float32 near zero, producing a dead zone and discontinuity. Request is to stabilize behavior near zero and add a signed variant.

  ⚡ Stable small-angle rotation utilities are foundational for robot kinematics/dynamics; numerical dead zones propagate into controllers and learning signals.

• Heap-buffer-overflow during APIC capture of padded bsr_set_transpose

  github:NVIDIA/warp7/9/2026hardware-integrationhardwarewarp

  APIC capture of a padded bsr_set_transpose intermittently triggers heap corruption in CI (glibc free invalid next size) and AddressSanitizer reports a heap-buffer-overflow. The crash breaks the process pool and fails the job.

  ⚡ Capture/replay infrastructure must be memory-safe under all operator variants; CI-detected heap corruption is a critical reliability risk.

• [BUG] kamino_mujoco_admm_solver truncates contacts

  github:newton-physics/newton7/9/2026integrationnewtonkaminomujococontactslimitsadmm

  kamino_mujoco_admm_solver logs warnings that Newton rigid_contact_max exceeds Kamino model_max_contacts_host, causing contact truncation. Defaults should be aligned to prevent unexpected truncation in the example.

  ⚡ When integrating with external stacks, mismatched default limits can silently degrade results and confuse users; defaults must be coordinated.

• [BUG] robot_ur10 with 32 worlds has robots colliding with their base

  github:newton-physics/newton7/9/2026environment-designnewtonur10multi-worldinitializationcollisionsexamples

  Running robot_ur10 with 32 worlds shows some robot instances visually colliding with their base. This suggests an issue with initial placement, joint configuration, or collision setup when scaling world count.

  ⚡ Multi-world scaling needs careful initialization and collision filtering; self-collisions at higher world counts erode confidence in batched simulation.

• [BUG] examples vbd_soft_rigid_contact has low framerate

  github:newton-physics/newton7/9/2026training-infranewtonvbdperformancewindowsexamplescontact

  The vbd_soft_rigid_contact example runs at around 7 fps on Windows 11 with an A6000. Performance is too low for comfortable use.

  ⚡ Low framerate in baseline contact demos reduces iteration speed and limits usefulness for profiling, education, and data generation.

• [BUG] examples rigid_soft_contact has a low framerate

  github:newton-physics/newton7/9/2026training-infranewtonperformancewindowssoft-bodycontactexamples

  The rigid_soft_contact example runs at around 20 Hz on Windows 11 with an A6000. The reporter notes the framerate does not look good at this speed.

  ⚡ Interactive performance of soft-rigid demos impacts developer productivity and perceived viability for real workloads.

• [Question] Point cloud generation fails in the camera output example because camera pose fields become zero/NaN

  github:isaac-sim/IsaacLab7/8/2026crashes-stabilitycrashusdsensorsdocsisaac-simisaac-lab

  In Isaac Lab camera output example, point cloud generation fails because camera pose fields become zero/NaN. The report uses Isaac Lab main with Isaac Sim 5.1 and the documented camera output tutorial script.

  ⚡ Sensor output correctness (camera pose integrity) is critical because downstream perception (e.g., point clouds) is a primary training signal.

• [BUG] test_friction_ramp_mujoco_warp_cuda_0 is flaky

  github:newton-physics/newton7/8/2026crashes-stabilitynewtonfrictionmujoco-warpcudaci-flakinesscontact-dynamics

  A MuJoCo Warp CUDA friction ramp test failed on an unrelated change, indicating intermittent behavior. The issue asks to investigate the cause of the flakiness in this GPU test.

  ⚡ Persistent GPU test flakiness in friction/contact scenarios weakens our ability to validate improvements in contact models used by Physical AI training.

• Require VBD contact history preallocation for CUDA graphs

  github:newton-physics/newton7/8/2026deploymentnewtoncuda-graphssolver-vbdcollision-pipelinepreallocationruntime-error

  With rigid_contact_history enabled, constructing CollisionPipeline after SolverVBD prevents the solver from knowing contact capacity at init, causing issues for CUDA graphs. The proposed change raises a targeted RuntimeError instructing users to construct in t

  ⚡ CUDA graph capture in simulation needs explicit capacity contracts between collision and solver components to be dependable for high-throughput training and deployment.

• Update target_joint_q to reflect non-zero joint_q, in particular with free joint.

  github:newton-physics/newton7/7/2026env-apinewtoncontrolfree-jointinitializationtarget-joint-qapi-semantics

  After a free-joint fix, `joint_q` initializes correctly but `target_joint_q` still initializes to zero/identity even when coordinate layout targets are enabled. As a result, default controls pull the model toward the origin instead of its initial pose.

  ⚡ Default control targets must align with initialized model poses or users will fight surprising stabilization behavior when bringing up articulated agents.

• [Bug] Root cause mgpu problem with --/physics/fabricUseGPUInterop

  github:isaac-sim/IsaacLab7/7/2026hardware-integrationisaac-labmgpufabricgpu-interopphysicsstability

  Isaac Lab flags an mgpu root-cause issue tied to the setting --/physics/fabricUseGPUInterop. The report is sparse, but it implies a problematic interaction between fabric GPU interop and multi-GPU usage.

  ⚡ Multi-GPU stability and configuration clarity are table stakes for scaling synthetic data and simulation throughput on NVIDIA platforms.

• Refactor array slot-write lowering

  github:NVIDIA/warp7/6/2026feature-requestsfeature-requestwarp

  Warp requests a refactor of the codegen lowering for component slot writes (vector/struct/matrix fields) used to ensure correct gradients. The issue is not about user-visible behavior directly, but about making the specialized lowering maintainable and well-gu

  ⚡ Keeping autodiff/codegen paths maintainable is essential as Warp becomes a foundation layer for differentiable physics and learning-centric simulation.

• [REQ] First-class ModelBuilder operation to convert a joint's type before finalize

  github:newton-physics/newton7/6/2026crashes-stabilitycrashmujoconewton

  Request to add a first-class ModelBuilder operation to convert an already-added joint to a different type before finalize, at least to FIXED while preserving transforms. The use case is vehicle wheels authored with revolute joints but simulated analytically to

  ⚡ Build-time model editing primitives reduce asset-specific hacks and enable scalable pipelines for vehicles and articulated robots in simulation and training.

• [DOCS] Do we fully support free joints applied to non-root links?

  github:newton-physics/newton7/6/2026asset-pipelineusddocsnewton

  Documentation/support is inconsistent for free joints applied to non-root links: URDF loader allows it, MJCF does not, USD loader cannot produce it, while the Newton API supports it. The issue asks to clarify intended support, align loaders, and add tests/warn

  ⚡ Loader feature inconsistencies (URDF/MJCF/USD) create hidden portability traps that can break user pipelines when switching asset formats.

• [DOCS] The annotation of mask in eval_mass_matrix and eval_jacobian needs updated

  github:newton-physics/newton7/6/2026docs-onboardingdocs

  The documentation/type annotation for the mask parameter in eval_jacobian and eval_mass_matrix is unclear (bool array vs array2d[bool], similar to eval_fk). The issue requests updating the annotation and clarifying supported mask formats.

  ⚡ Ambiguous API annotations around masks and shapes increase integration bugs for advanced users building custom dynamics/kinematics pipelines.

• `wp.from_dlpack()` rejects Boolean tensors

  github:NVIDIA/warp7/5/2026hardware-integrationhardwarewarp

  Warp exports wp.bool arrays to DLPack using kDLBool (8-bit), but wp.from_dlpack() rejects the same dtype so boolean tensors cannot round-trip through DLPack on CPU or CUDA. This breaks expected interop patterns for masks/flags moving between frameworks.

  ⚡ Robust DLPack dtype interoperability (including bool) is essential to keep Warp as a drop-in compute layer in PyTorch-centric Physical AI pipelines.

• Thor pcie ep 和 ep xdma 通信失败

  nvidia-forum:robotics-edge-computing7/3/2026hardware-integrationjetson-thorpciexdmaendpoint-modebringup

  Forum post reports Thor PCIe endpoint (EP) and EP XDMA communication failure. No details are provided, suggesting the user is blocked at bring-up/validation.

  ⚡ Thor platform adoption is gated by reliable PCIe endpoint communication and clear debug playbooks for carrier/firmware configurations.

• Continuing Power Mode Issues on Jetpack 7.2

  nvidia-forum:robotics-edge-computing7/3/2026deploymentjetpackjetsonpower-modesedge-deploymentstability

  Forum post indicates continuing power mode issues on JetPack 7.2. The lack of body details suggests ongoing unresolved confusion or regressions around power configuration.

  ⚡ Power-mode stability remains a recurring edge-deployment risk; inconsistent power behavior directly impacts robotics reliability and performance claims.

• Mipi-csi a problem

  nvidia-forum:robotics-edge-computing7/3/2026sensors-perceptionjetsonmipi-csicamerabringupdebugging

  Forum post states there is a MIPI-CSI problem. No details are provided, indicating a generic camera bring-up/streaming issue.

  ⚡ Camera pipeline reliability issues on Jetson continue to tax developer time; better diagnostics and reference configs would reduce support load.

• Orin nano hdmi problem

  nvidia-forum:robotics-edge-computing7/3/2026hardware-integrationjetson-orin-nanohdmidisplaybringupio-issues

  Forum post reports an Orin Nano HDMI problem. No body details are provided.

  ⚡ Display/IO stability remains important for developer kits used in robotics labs; HDMI failures slow validation and demos.

• Orin nano pcie & hdmi

  nvidia-forum:robotics-edge-computing7/2/2026hardware-integrationjetson-orin-nanopciehdmiio-issuesbringup

  Forum post flags issues with Orin Nano PCIe and HDMI. No additional context is provided.

  ⚡ Core I/O issues (PCIe + HDMI) on entry devices like Orin Nano can deter prototyping and push users to alternative platforms.

• Xavier nx模组偶发性重启问题

  nvidia-forum:robotics-edge-computing7/2/2026deploymentjetson-xavier-nxrebootsstabilitydeploymentreliability

  Forum post reports intermittent reboot issues on Xavier NX modules. The empty body suggests early triage and a need for standard diagnostic steps.

  ⚡ Unexplained reboots on deployed modules are a major trust and support burden; improved observability and root-cause guidance are essential.

• MJX-Warp: UnexpectedTracerError in jnp.where-based auto-reset function on Warp data

  github:google-deepmind/mujoco7/2/2026training-infrarlrenderinghardwaredocsmujocowarp

  MJX-Warp user hits a JAX UnexpectedTracerError when using a jnp.where-based autoreset that mixes reset data with stepped Warp data, possibly interacting with vmap. They provide a reproducer and are unsure whether this is a bug or interface misuse.

  ⚡ JAX/Warp interop footguns can block adoption of accelerated simulation in modern RL stacks unless patterns for reset/step composition are standardized.

• VIC failure - tegra-mc: VPR violation

  nvidia-forum:robotics-edge-computing7/2/2026crashes-stabilitytegravicvprmemory-controllermultimediajetson

  VIC failure with tegra-mc VPR violation suggests protected memory access issues affecting video/image processing.

  ⚡ Low-level memory/VPR violations can manifest as hard-to-diagnose multimedia failures that degrade perception pipelines.

• Add documentation for working with non-blocking CUDA streams

  github:NVIDIA/warp7/2/2026hardware-integrationhardwaredocsfeature-requestwarp

  Request to document how Warp behaves with non-blocking CUDA streams such as those borrowed from PyTorch. The goal is to avoid unexpected synchronization behavior when integrating Warp with external stream management.

  ⚡ As Warp becomes infrastructure for many stacks, practical CUDA stream guidance is necessary to prevent subtle correctness/perf bugs in mixed-framework pipelines.

• CHANSEL_SHORT_FRAME and PHY_INTR but still dequeing buffers

  nvidia-forum:robotics-edge-computing7/2/2026sensors-perceptionjetsoncameramipi-csiargusdriver-errorsbuffering

  Forum post reports CHANSEL_SHORT_FRAME and PHY_INTR occurring while buffers are still dequeued. No further details are provided, implying a hard-to-debug capture stability issue.

  ⚡ Camera driver robustness and error semantics (still dequeuing after PHY errors) are key to dependable perception pipelines on Jetson.

• Jetson Thor Custom Carrier board - Recovery mode

  nvidia-forum:robotics-edge-computing7/2/2026deploymentjetson-thorcustom-carrierrecovery-modebringupoem

  Forum post asks about recovery mode on a Jetson Thor custom carrier board. The empty body suggests uncertainty about required hardware strapping or procedures.

  ⚡ Custom carrier recovery-mode workflows must be predictable to enable OEM productization on Thor.

• [bug report] Jetson Orin Nano Super: RTL8168 Ethernet intermittently negotiates 100 Mbps instead of 1 Gbps on JetPack 7 (L4T R39.2.0)

  nvidia-forum:robotics-edge-computing7/2/2026hardware-integrationjetson-orin-nano-superethernetrtl8168link-speedjetpack-7l4t-r39-2

  Bug report says RTL8168 Ethernet on Jetson Orin Nano Super intermittently negotiates at 100 Mbps instead of 1 Gbps on JetPack 7 (L4T R39.2.0). No further details are provided.

  ⚡ Intermittent Ethernet link negotiation issues can be deployment-breaking for robots relying on networked sensors and remote ops; driver/platform fixes matter.

• Argus InvalidState: CaptureProvider destroyed - camera cannot be reopened without restarting nvargus-daemon (Orin Nano, JetPack 6.2)

  nvidia-forum:robotics-edge-computing7/2/2026sensors-perceptionjetson-orin-nanoargusnvargus-daemoncamerajetpack-6-2reliability

  Forum post reports Argus InvalidState where CaptureProvider is destroyed and the camera cannot be reopened without restarting nvargus-daemon on Orin Nano with JetPack 6.2. This implies a persistent camera service failure mode.

  ⚡ Camera restartability is a real-world requirement; if nvargus-daemon must be restarted to recover, it undermines long-running autonomy reliability.

• TerrainImporter plane import assumes legacy collision and shader prim paths

  github:isaac-sim/IsaacLab7/2/2026crashes-stabilitycrashusdrenderingisaac-simisaac-lab

  Isaac Lab TerrainImporter fails to import a plane terrain when users set documented physics/visual material overrides because it assumes legacy collision/shader prim paths that aren’t present in the current ground-plane USD. This breaks valid TerrainImporterCf

  ⚡ Environment creation should be robust to documented configuration overrides; fragile assumptions in importers slow experimentation and increase support load.

• How to Fix stuck at Exiting Boot Services and Installing Virtual address map?

  nvidia-forum:robotics-edge-computing7/2/2026deploymentuefiboot-hangjetsonvirtual-address-mapfirmware

  System is stuck at 'Exiting Boot Services' and 'Installing Virtual address map', indicating a UEFI boot issue affecting Jetson startup.

  ⚡ UEFI boot hangs undermine deployability and complicate secure boot/OTA workflows for robotics products.

• Isaac Sim/Kit forces `PXR_WORK_THREAD_LIMIT`, blocking the Newton USD multi-collider crash workaround

  github:isaac-sim/IsaacSim7/2/2026crashes-stabilitycrashusdrenderinghardwareintegrationisaac-sim

  Isaac Sim/Kit forces PXR_WORK_THREAD_LIMIT=16, preventing the Newton/OpenUSD workaround (set to 1 before pxr init) for a known heap corruption crash when loading/cloning rigid bodies with many colliders.

  ⚡ Kit-level environment forcing that prevents known crash mitigations creates systemic stability risk for Newton-backed USD ingestion at scale.

• Captured image gets corrupted when changing Output Size on Jetson Orin NX

  nvidia-forum:robotics-edge-computing7/2/2026sensors-perceptionorin-nxcameraimage-corruptionresolution-changejetsonisp

  Captured images become corrupted when changing output size on Jetson Orin NX, suggesting a camera pipeline or memory handling bug.

  ⚡ Dynamic reconfiguration of camera output is common in robotics; corruption here can break multi-resolution perception stacks.

• Gstreamer nvarguscmaerasrc unable to change exposure / gain at runtime

  nvidia-forum:robotics-edge-computing7/2/2026sensors-perceptiongstreamernvarguscamerasrcexposuregaincamera-controljetson

  GStreamer nvarguscamerasrc cannot change exposure/gain at runtime, limiting adaptive imaging workflows.

  ⚡ Runtime camera control (exposure/gain) is required for robust perception; limitations here reduce real-world viability.

• ATSAMD21G16B-AU firmware for custom AGX Orin carrier board (P3737 reference) — not found on developer site

  nvidia-forum:robotics-edge-computing7/2/2026docs-onboardingagx-orincarrier-boardfirmwareatsamd21p3737developer-site

  User cannot find ATSAMD21G16B-AU firmware for a custom AGX Orin carrier board based on the P3737 reference, implying incomplete downloads/documentation.

  ⚡ Missing carrier-board firmware artifacts block OEMs from building and maintaining custom hardware compatible with Jetson reference designs.

• [BUG] MJCF importer uses asserts for malformed user input

  github:newton-physics/newton7/1/2026asset-pipelineusdmujoconewton

  Newton MJCF importer uses assertions and low-context exceptions for malformed user input instead of deterministic validation errors, making debugging difficult.

  ⚡ Importers must fail gracefully with actionable errors to support large-scale asset ingestion from diverse sources like MJCF.

• [BUG] Invalid ShapeConfig values are accepted during validation

  github:newton-physics/newton7/1/2026othernewton

  Newton ShapeConfig.validate accepts invalid physical/SDF values (e.g., negative density, invalid voxel sizes/ranges) that should be rejected early.

  ⚡ Strong configuration validation at API boundaries reduces downstream crashes and improves reproducibility in simulation pipelines.

• [Question] ISAAC_NUCLEUS_DIR resolves to Nucleus cloud URL instead of local asset root despite local Isaac Sim asset configuration

  github:isaac-sim/IsaacLab7/1/2026asset-pipelineusddeploymentdocsisaac-simisaac-lab

  Isaac Lab resolves ISAAC_NUCLEUS_DIR to a Nucleus cloud URL even when Isaac Sim is configured for local assets, leading to FileNotFoundError when cloud assets are inaccessible.

  ⚡ Local asset resolution must be deterministic to enable offline, on-prem, and air-gapped robotics development workflows.

• Add stiffness and damping to mimic constraints

  github:newton-physics/newton7/1/2026crashes-stabilitycrashusdintegrationmujoconewton

  Request to add stiffness and damping to mimic constraints as solver-independent parameters, reducing dependence on MuJoCo-specific custom attributes.

  ⚡ Portable compliance parameters for constraints improve cross-solver parity and enable more realistic manipulation modeling.

• System throttled due to Over-current

  nvidia-forum:robotics-edge-computing7/1/2026hardware-integrationjetsonpowerover-currentthrottlingdeployment

  Forum post titled “System throttled due to Over-current” has no body content in the corpus. It suggests the device is throttling due to over-current protection events.

  ⚡ Power integrity issues on edge platforms can block deployments and should be addressed with clearer guidance and tooling.

• urdf to usd, then report closed articulation

  github:isaac-sim/IsaacSim7/1/2026crashes-stabilityv5.1crashusdhardwareintegrationisaac-sim

  User imports a robot from URDF to USD and Isaac Sim 5.1 reports the rigid body is part of a closed articulation, which is not supported. Another robot with the same topology reportedly runs, suggesting an import or authoring difference that’s hard to identify.

  ⚡ URDF→USD import must produce reliable articulation semantics or clearly diagnose unsupported closed-loop structures.

• Usb3 camera open error

  nvidia-forum:robotics-edge-computing7/1/2026sensors-perceptionjetsonusb3-camerav4l2perceptiondeployment

  Forum post titled “Usb3 camera open error” provides no body content in the corpus. It suggests failures opening a USB3 camera device on the platform.

  ⚡ Camera bring-up reliability on Jetson remains a key deployment blocker for perception-driven robotics.

• Stuck at 15W, again!

  nvidia-forum:robotics-edge-computing7/1/2026hardware-integrationjetsonpower-modeperformancethrottlingdeployment

  Forum post titled “Stuck at 15W, again!” has no body details in the corpus. It indicates recurring inability to switch out of a 15W power mode or performance cap.

  ⚡ Power-mode and performance-state issues can become repeat friction points without stronger diagnostics and guidance.

• Jetson orin nano 的 mass storage 功能问题

  nvidia-forum:robotics-edge-computing7/1/2026hardware-integrationjetsonorin-nanousb-gadgetmass-storageprovisioning

  Chinese forum post title indicates a Jetson Orin Nano mass storage function issue, but no body is included. It likely concerns USB device-mode mass storage behavior or flashing/provisioning workflows.

  ⚡ Mass storage/USB gadget workflow reliability matters for manufacturing, provisioning, and field servicing of robots.

• IGX Thor devkit (T7000) Type-C issue

  nvidia-forum:robotics-edge-computing7/1/2026hardware-integrationigx-thort7000usb-chardware-supportio

  Forum post “IGX Thor devkit (T7000) Type-C issue” has no body details in the corpus. It indicates problems with USB-C functionality on the devkit.

  ⚡ Type-C reliability on devkits impacts peripheral connectivity and developer productivity for edge AI systems.

• Corr_err: discarding frame, flags: 0, err_data: 0 while streaming 4K@60 on Jetson Orin NX (L4T 36.5)

  nvidia-forum:robotics-edge-computing7/1/2026sensors-perceptionjetsonorin-nxcamera-streaming4k60l4t-36-5

  Forum post reports “Corr_err: discarding frame…” while streaming 4K@60 on Jetson Orin NX (L4T 36.5), but provides no further details in the corpus. This suggests capture pipeline instability at high throughput.

  ⚡ High-bandwidth camera streaming stability is essential for real robots; recurring frame discard errors indicate fragile pipelines.

• Jetson AGX Thor UART5 for LCM: UEFI Shell Activity Affects UART5 and Baud Rate Remains 115200

  nvidia-forum:robotics-edge-computing7/1/2026hardware-integrationjetson-agx-thoruartuefiserial-consolehardware-support

  Forum post indicates IGX/Thor UART5 for LCM is affected by UEFI shell activity and baud rate remains 115200, with no more details in the corpus. It suggests a firmware/boot-stage interaction impacting UART configuration.

  ⚡ Low-level serial/UART behavior across UEFI and OS affects industrial integration and should be predictable and documented.

• Scale transformation not applied to visuals when using Newton physics backend

  github:isaac-sim/IsaacSim7/1/2026crashes-stabilitycrashusdrenderinghardwaremanipulationdx

  With the Newton backend, visual geometry scale is not applied during simulation even though collision respects the custom scale; visuals reset to scale 1. PhysX behaves correctly in the same scenario.

  ⚡ Parity gaps between physics backends (Newton vs PhysX) can undermine trust in simulation fidelity for policy training and evaluation.

• Agx orin can无法发送

  nvidia-forum:robotics-edge-computing6/30/2026hardware-integrationjetsonagx-orincan-busautomotivehardware-support

  Chinese forum post title indicates AGX Orin CAN cannot send, with no body details in the corpus. It suggests CAN TX bring-up or driver configuration problems.

  ⚡ Automotive/industrial comms (CAN) issues on Jetson can block robotics integrations and need strong reference guidance.

• Weave Robotics launches Isaac 1, a $7,999 home robot with Fall 2026 deliveries

  hn:isaac lab7/1/2026▲ 233other

  Hacker News discussion about Weave Robotics launching a home robot named Isaac 1 with a stated price and delivery timeframe.

  ⚡ Consumer home robots branded around “Isaac” can create market confusion and underscores rising mainstream interest in embodied AI.

• [Bug Report] VS Code Setup Guide: `extraPaths` setting in *settings.json* conflicts with `pyproject.toml`

  github:isaac-sim/IsaacLab7/12/2026docs-onboardingv6.0.1isaac-labvscodewindowsonboardingpylancepyproject-toml

  On Windows with Isaac Sim 6.0.1 prebuilt binaries, the VS Code setup task generates python.analysis.extraPaths that conflicts with pyproject.toml in a newly created Isaac Lab project. This produces a VS Code/Pylance configuration conflict rather than a clean s

  ⚡ Editor/tooling setup must be conflict-free to reduce onboarding friction and support Windows developers reliably.

• Changing CPU compiler flags causes PCH errors

  github:NVIDIA/warp7/12/2026tooling-dxwarpcpucompilationpchclangcache

  Changing Warp CPU compiler flags between modules in the same process triggers Clang target-feature errors and forces Warp to discard PCH and recompile without it. Tests pass but compilation becomes slower and logs misleading errors.

  ⚡ Compilation cache correctness (e.g., PCH keys) directly impacts iteration speed for users building custom CPU kernels and extensions.

• [Bug Report] `torch` 2.10 -> 2.11?

  github:isaac-sim/IsaacLab7/6/2026docs-onboardingv6.0isaac-labisaac-simpytorchtorchdependenciespip-install

  Isaac Lab pip installation docs recommend torch 2.10 while Isaac Sim 6.0 uses torch 2.11 per its python_packages.toml. The user is asking whether the docs should move from 2.10 to 2.11, signaling potential version mismatch confusion.

  ⚡ Misaligned dependency guidance between Isaac Lab and Isaac Sim increases install failures and slows developer adoption of the end-to-end stack.

• Isaac Asimov Laments the "Cult of Ignorance" in the United States (1980)

  hn:isaac sim7/1/2026▲ 4othermonitoringkeyword-noiseisaac-name

  Hacker News post titled about Isaac Asimov’s “Cult of Ignorance” is unrelated to Isaac Sim. It appears due to keyword overlap rather than product relevance.

  ⚡ Keyword collisions (“Isaac”) can inject irrelevant noise into monitoring pipelines and should be filtered.

• Isaac Asimov Laments the "Cult of Ignorance" in the United States (1980)

  hn:isaac lab7/1/2026▲ 4other

  Hacker News post titled about Isaac Asimov’s “Cult of Ignorance” is unrelated to Isaac Lab. It appears due to keyword overlap rather than product relevance.

  ⚡ Keyword collisions (“Isaac”) can inject irrelevant noise into monitoring pipelines and should be filtered.

• LeRobot v0.6.0 Adds World Models, Reward Models, and an Open GR00T

  hn:gr00t7/9/2026▲ 1othergrootlerobot

  A Hacker News item highlights LeRobot v0.6.0 adding world models, reward models, and an open GR00T. No further details are provided in the corpus entry.

  ⚡ Ecosystem moves toward world/reward models and open robot foundations increase pressure to integrate simulation and data pipelines with emerging open stacks.

• Support torsional and rolling contact friction materials

  github:newton-physics/newton7/7/2026▲ 1renderingrenderingmujoconewton

  Newton's SolverVBD ignores mu_torsional and mu_rolling material properties even though they exist in ShapeConfig and are used in other solvers like XPBD and MuJoCo. This creates visible behavioral differences for finite-radius objects like spheres/capsules in

  ⚡ Contact modeling parity (rolling/torsional friction) is increasingly needed for realistic manipulation and conveyor/transport tasks where rotational resistance matters.

• Problems with RT-Detr Quickstart

  nvidia-forum:isaac7/2/2026▲ 1other

  Same titled post indicates problems with the RT-Detr Quickstart in the Isaac forum category. No body details are available.

  ⚡ Repeated RT-DETR quickstart pain across channels indicates a broader packaging/versioning/docs alignment issue rather than isolated user error.

• Problems with RT-Detr Quickstart

  nvidia-forum:isaac-ros7/2/2026▲ 1other

  Same titled post indicates problems with the RT-Detr Quickstart in the Isaac ROS forum category. No body details are available.

  ⚡ Cross-forum duplication of the same quickstart issue suggests systemic onboarding gaps that should be fixed once and propagated across docs.

• JetPack 7.2 Yocto Release for Jetson is now live

  nvidia-forum:robotics-edge-computing6/30/2026▲ 1docs-onboardingjetsonjetpack-7-2yoctoreleaseembedded-linux

  Forum post announces JetPack 7.2 Yocto Release for Jetson is now live, but includes no body details in the corpus. It duplicates the release message in another thread entry.

  ⚡ Release announcements create demand for clear migration guidance and compatibility matrices across the Jetson software stack.

• Kamino: Extract policy & other logic from `example_rl_drlegs` into main DR Legs example

  github:newton-physics/newton7/13/2026docs-onboardingnewtonexamplesrlonnxtorchbenchmarking

  Policy logic from an internal Kamino RL drlegs example should be moved into the main DR Legs example with a CLI switch for policy vs standalone. The request prefers moving to ONNX to avoid a torch dependency and to align the benchmark with the example.

  ⚡ Reducing heavyweight dependencies and consolidating examples lowers adoption friction and makes benchmarks more portable.

• Re-enable test_friction_ramp_mujoco_warp_cuda_0

  github:newton-physics/newton7/13/2026crashes-stabilitynewtontestingregressionfrictionmujocowarp

  A previously disabled friction ramp test (mujoco_warp_cuda_0) needs follow-up to be re-enabled. The issue provides no additional details beyond the re-enable request.

  ⚡ Keeping key physics regression tests enabled is essential to prevent silent behavior drift across solver and GPU backends.

• Support stretch, shear, bend, and twist stiffness in USD cable import

  github:newton-physics/newton7/12/2026asset-pipelineusd

  USD cable import currently applies only stretch and bend stiffness mappings while ignoring parsed shear and twist stiffness when building the rod. The builder falls back to defaults (shear=stretch, twist=bend) and emits a warning, leading to incorrect cable be

  ⚡ USD import fidelity for deformables/cables is key to reuse real production assets and maintain consistent physical behavior across tools in the Physical AI ecosystem.

• OnPlaybackTick-driven ROS2 camera OmniGraph added as `over` on payload-referenced robot stops publishing after 1-2 frames (render product/data valid, ROS2CameraHelper output stalls)

  github:isaac-sim/IsaacSim7/10/2026asset-pipelinev5.1.0usdrenderinghardwaredeploymentsensorsperception

  A ROS2 camera OmniGraph driven by OnPlaybackTick stops publishing after 1–2 frames when added as an `over` on a payload-referenced robot. Render products and image data appear valid, but ROS2CameraHelper output stalls.

  ⚡ ROS2 sensor streaming must be robust to common USD composition patterns (payloads/over) to be credible for real robot integration.

• Support compiling kernels from a string

  github:NVIDIA/warp7/10/2026other

  Warp kernels currently must live in a .py file tied to a module, limiting CLI one-liners and dynamically generated kernels. Users want first-class support for compiling kernels from strings without exec-based workarounds.

  ⚡ More flexible kernel authoring enables faster experimentation and better alignment with agentic/devtool workflows.

• Add efficient CPU block execution with fibers

  github:NVIDIA/warp7/10/2026hardware-integrationhardware

  Request to support block_dim > 1 on CPU with CUDA-like block semantics, including shared tile state and barriers. Proposal suggests implementing cooperative fibers per block to preserve correctness while improving efficiency.

  ⚡ Closing CPU/GPU semantic gaps (block/thread behavior) broadens Warp’s utility for debugging, CI, and CPU-only deployments.

• USD decoder misses physics-purpose material bindings on colliders

  github:google-deepmind/mujoco7/10/2026asset-pipelineusdrenderingdocsintegrationmujoco

  MuJoCo’s USD decoder misses physics-purpose material bindings on colliders when different materials are used for visual vs physics purposes. This breaks contact property preservation in MJCF↔USD roundtrip validation.

  ⚡ USD physics material semantics must roundtrip correctly across engines or USD becomes a weak link in sim asset portability.

• USD decoder does not preserve sites, model names, unlimited joints, and disabled-collider metadata

  github:google-deepmind/mujoco7/10/2026crashes-stabilitycrashusddocsintegrationmujoco

  MuJoCo’s USD decoder does not preserve several semantics needed for roundtrip validation: sites, model names, unlimited joints, and disabled-collider metadata. This undermines compiled-model comparisons and deterministic rollouts after import.

  ⚡ Metadata and semantic preservation in USD import/export is critical for deterministic validation and trustworthy cross-sim workflows.

• sample/compile cannot load USD decoder plugins without manual plugin registration

  github:google-deepmind/mujoco7/10/2026asset-pipelineusdintegration

  MuJoCo’s sample/compile cannot load USD decoder plugins unless the plugin is manually registered/loaded. Users want the sample to auto-load plugins from standard build/install directories before parsing.

  ⚡ Plugin discoverability and sensible defaults are key to making USD-based pipelines usable from the command line and in CI.

• Cached non-deterministic kernels retain deterministic launch metadata

  github:NVIDIA/warp7/10/2026renderingrenderinghardwarewarp

  Warp can retain deterministic launch metadata when switching to a cached non-deterministic kernel variant of the same module. This results in incorrect execution (e.g., counters run twice), and reproduces only with a warm disk cache.

  ⚡ Determinism controls must be airtight across caching boundaries to keep training/validation metrics trustworthy.

• [BUG] Cube passes through chain in example mujoco_xpbd_coupled_solver

  github:newton-physics/newton7/10/2026othernewtonwarp

  In the mujoco_xpbd_coupled_solver example, the chain falls through the cube without interacting, indicating broken collision/constraint coupling. The provided repro uses newton[examples]==1.4.0.rc1 and Warp 1.15.0 on Windows.

  ⚡ Contact/constraint regressions in example stacks can quickly damage confidence in coupled-solver reliability for robotics workloads.

• [BUG] mujoco_mpm_coupled_solver particles appear stuck in the air

  github:newton-physics/newton7/10/2026othernewtonwarp

  In the mujoco_mpm_coupled_solver example, some particles appear stuck in mid-air and do not move. The repro is with newton[examples]==1.4.0.rc1 and Warp 1.15.0 on Windows.

  ⚡ MPM coupling issues in reference examples suggest solver correctness/performance gaps that can block adoption for deformables/fluids.

• [BUG] Example kamino_mujoco_admm_solver warns about truncated contacts

  github:newton-physics/newton7/10/2026hardware-integrationhardwaremujoconewtonwarp

  The kamino_mujoco_admm_solver example consistently warns about truncated contacts. The log indicates this happens in a typical setup (Warp 1.15.0 on A40), suggesting defaults or limits are easy to exceed.

  ⚡ If default example configurations routinely hit contact truncation, users will question solver robustness and parameterization guidance.

• [REQ] Support different no. of articulations per world

  github:newton-physics/newton7/10/2026othernewtonfigure

  Request to support different numbers of articulations per world and provide flat views of articulation data for homogeneous and heterogeneous cases. Current returned shapes are centered on (num_world, num_articulation, data), which is limiting.

  ⚡ Scaling to realistic training setups requires flexible batching APIs that handle heterogeneous per-world composition without forcing identical topologies.

• [REQ] Supporting different number shapes be accepted in selection API

  github:newton-physics/newton7/10/2026other

  Selection API currently requires articulations to be identical including shape counts, rejecting some heterogeneity that may be unnecessary (e.g., visual shape differences). Request is to accept different shape counts where safe and leave subtle collider diffe

  ⚡ Relaxing unnecessary homogeneity constraints in selection/view APIs improves scalability and asset diversity for simulation-based training.

• [BUG] SolverStyle3D produces NaNs for active zero-mass particles

  github:newton-physics/newton7/10/2026renderingrenderingnewtonwarp

  SolverStyle3D can generate NaNs when active particles have zero mass (e.g., isolated vertices left after face filtering). The init step divides by mass for ACTIVE particles without guarding against zero, so zero-mass particles should be fixed and finite.

  ⚡ Numerical robustness around edge cases (e.g., zero mass) is required for stable cloth/soft-body pipelines used in manipulation and contact learning.

• [BUG] ControllerPID masked reset may launch on the wrong Warp device

  github:newton-physics/newton7/10/2026renderingrenderinghardwarenewtonwarp

  ControllerPID.State.reset(mask) launches a kernel without specifying a device, so it may run on CPU even when inputs are on CUDA. This can cause a crash (exit code 139) instead of resetting masked entries, and should validate mask compatibility up front.

  ⚡ Device correctness (CPU vs CUDA) must be enforced consistently to prevent hard crashes in robotics control components built atop Warp.

• Add configurable USD purpose filtering to Newton viewers

  github:newton-physics/newton7/9/2026asset-pipelineusdrenderingmujoconewton

  Newton viewers currently apply viewport-style USD purpose defaults (show default/proxy; hide guide/render) with no user override. Request is to add configurable purpose visibility so users can reveal guide geometry (e.g., MuJoCo sites) or hide other purposes.

  ⚡ Viewer-level controls for USD purpose filtering improve debugging and inspection of converted assets without requiring stage edits.

• [BUG] examples cable_bundle_hysteresis renders cables as a single uniform color

  github:newton-physics/newton7/9/2026othernewton

  The cable_bundle_hysteresis example renders all cables as a uniform color with no variation, and some CLI options appear to have no effect. This makes the example confusing and possibly indicates a rendering/material or parameter wiring issue.

  ⚡ Example visual correctness matters because examples set user expectations and are often used as reference implementations.

• [BUG] proxy_joint_gripper soft object drifts from gripper over time

  github:newton-physics/newton7/9/2026renderingrenderinghardwaremanipulationnewton

  In the proxy_joint_gripper example, a deformable object drifts out of the gripper over time. The object should remain stably held after grasping rather than sliding away unexpectedly.

  ⚡ Stable grasp/contact behavior for deformables is crucial for manipulation credibility; drift undermines confidence in contact modeling and constraints.

• [BUG] xpbd_vbd_coupled_solver --solver vbd lets particles pass through

  github:newton-physics/newton7/9/2026renderingrenderinghardwarenewton

  In xpbd_vbd_coupled_solver running with `--solver vbd`, particles pass through unexpectedly. The baseline is expected to keep cloth/particles bounded and above ground.

  ⚡ Baseline solver modes must enforce non-penetration; otherwise they cannot serve as trustworthy references for learning and evaluation.

• [BUG] mujoco_vbd_coupled_solver --solver vbd has excessive floor penetration

  github:newton-physics/newton7/9/2026renderingrenderinghardwaremujoconewton

  In mujoco_vbd_coupled_solver with `--solver vbd`, there is excessive floor penetration. Rigid bodies and particles should not significantly penetrate the ground in a baseline configuration.

  ⚡ Contact quality in rigid/soft scenes is a core product claim; excessive penetration in baseline modes reduces trust in physics realism.

• [BUG] mujoco_franka_vbd_cable_admm_solver robot penetrates the floor

  github:newton-physics/newton7/9/2026environment-designnewtonmujocofrankascene-setuppenetrationexamples

  In mujoco_franka_vbd_cable_admm_solver, the Franka robot penetrates the floor. The example likely needs a placement adjustment and corresponding keypoint updates.

  ⚡ Out-of-box examples must be spatially and physically consistent so they can be used as reliable baselines and demos.

• [BUG] robot_policy go2 with PhysX reports narrowphase overflow warnings

  github:newton-physics/newton7/9/2026locomotionnewtongo2robot-policyphysxnarrowphasecontacts

  robot_policy go2 run with PhysX prints repeated narrowphase overflow warnings recommending higher nconmax/naconmax values. The example should be configured to avoid these warnings by default.

  ⚡ Policy examples must run cleanly across physics backends; persistent overflow warnings suggest brittle defaults for contact buffer sizing.

• [BUG] robot_policy go2 reports narrowphase overflow warnings

  github:newton-physics/newton7/9/2026locomotionnewtongo2robot-policynarrowphasecontactsexamples

  robot_policy go2 repeatedly logs narrowphase overflow warnings suggesting higher nconmax/naconmax. The example is expected to run without these warnings in its default configuration.

  ⚡ Clean, warning-free locomotion demos are important for adoption; repeated overflow warnings indicate default buffers are undersized for common scenes.

• [BUG] examples vbd_rigid_rigid_contact is hard to understand

  github:newton-physics/newton7/9/2026docs-onboardingnewtonexamplesdocumentationonboardingvbdvisualization

  A user reports the vbd_rigid_rigid_contact example is hard to understand and questions its value, noting it looks like simple wireframe shapes with unclear purpose. They ask for clarification on what is being shown and why.

  ⚡ Examples need clear intent and narrative to function as onboarding assets rather than confusing demos with unclear value.

• Array annotation `repr()` uses constructor form instead of subscript syntax

  github:NVIDIA/warp7/9/2026renderingrenderingwarp

  Warp array annotation repr() renders as a constructor-like string rather than subscript syntax, so it doesn't round-trip with eval(). This affects Sphinx autodoc return type rendering.

  ⚡ Small documentation/representation details in core libraries cascade into poor autogenerated docs, increasing onboarding time for developers.

• Semantic segmentation does not capture IRI SpillEvent PuddleGlass despite semantic label being applied

  github:isaac-sim/IsaacSim7/8/2026synthetic-datav6.0.1synthetic-datausdrenderinghardwareperceptionisaac-sim

  In Isaac Sim 6.0.1, a generated IRI SpillEvent puddle appears in RGB but is not captured in semantic segmentation even after applying semantic labels to the puddle mesh. The leaking source object is labeled correctly, but the generated spill is not.

  ⚡ Synthetic data generation must reliably label dynamic/generated assets (events, fluids) or users will lose trust in SDG pipelines for training.

• Streaming Client on Windows auto-resizes

  github:isaac-sim/IsaacSim7/8/2026renderingrenderinghardwaredeploymentintegrationisaac-sim

  Streaming Client 2.0 on Windows auto-resizes when OS scaling is set to 125%, producing an oversized GUI despite a requested 1920x1080 resolution. Logs indicate dynamic resize adjustments due to alignment and constraint requirements.

  ⚡ Remote/streaming UX issues create avoidable friction for enterprise users who rely on streaming clients for lab access and demos.

• Add missing SolverXPBD API docstrings

  github:newton-physics/newton7/8/2026docs-onboardingnewtonxpbddocsapi-docssolver

  SolverXPBD lacks docstrings for constructor parameters and several user-facing methods. The issue requests comprehensive Google-style Args documentation and method docstrings.

  ⚡ High-quality API docs reduce support burden and accelerate adoption, especially for solver-level classes with many parameters and units.

• mj_geomDistance returns exactly 0.0 for clearly separated convex mesh pairs (nativeccd); libccd fallback also violates a separating-plane lower bound

  github:google-deepmind/mujoco7/7/2026crashes-stabilitycrashdeploymentdocsmujoco

  MuJoCo's `mj_geomDistance` returns exactly 0.0 for separated convex mesh pairs under nativeccd, and the libccd fallback also violates a separating-plane lower bound. The issue is reproduced across multiple MuJoCo versions and persists on current main per the r

  ⚡ Clearance and distance query correctness is a core primitive for planning, safety checks, and contact modeling; systematic zero-distance failures erode downstream stack validity.

• [REQ] Standardize Solver.reset masks with a global slot

  github:newton-physics/newton7/6/2026tooling-dxdx

  Request to standardize Solver.reset world_mask shape across solvers to (world_count + 1,), reserving the final slot for global entities with world = -1. It proposes updating the public contract with deprecation where needed and making solvers that lack global

  ⚡ Inconsistent reset mask contracts across solvers increase integration complexity for vectorized simulation and curriculum workflows.

• Refactor import_usd.py

  github:newton-physics/newton7/6/2026tooling-dxnewton-physicsusdimporterrefactormaintainabilityasset-pipeline

  Newton's import_usd.py has grown beyond 4500 lines and is requested to be split into multiple files. The goal is improved readability and maintainability of the USD import pipeline.

  ⚡ USD import codebases become critical shared infrastructure; maintainability investments reduce long-term integration risk across asset and sim stacks.

• [REQ] Public accessor for custom-attribute frequency row counts on ModelBuilder

  github:newton-physics/newton7/6/2026othernewton

  Request to add ModelBuilder.get_custom_frequency_count(frequency) to expose build-time row counts for custom attribute frequencies. A similar accessor already exists on finalized models, so this fills an API gap during construction.

  ⚡ Small missing introspection APIs in builders compound into tooling gaps for dataset generation, domain randomization, and environment construction at scale.

• [REQ] Hydroelastic contact support for analytic ground planes

  github:newton-physics/newton7/6/2026hardware-integrationhardwarenewton

  Request to allow analytic ground planes to participate in hydroelastic (SDF) contacts so robots can rest on add_ground_plane without meshing the ground. The issue notes planes previously had HYDROELASTIC silently cleared and proposes threading plane support th

  ⚡ Hydroelastic contact completeness (including simple primitives like planes) is key for contact-rich tasks and reduces friction in environment authoring.

• Benchmark environment reset performance

  github:newton-physics/newton7/3/2026other

  Proposal to add ASV benchmarks that measure absolute elapsed time for full and partial resets of a representative batched environment. Motivation is that RL workloads reset frequently and current benchmarks don’t isolate reset regressions.

  ⚡ Reset-time visibility is a leading indicator of end-to-end training throughput for batched simulation, not just steady-state step speed.

• Surface additional metrics from existing benchmarks

  github:newton-physics/newton7/3/2026other

  Request to expose additional robot-learning-relevant metrics from existing ASV simulation benchmarks beyond aggregate elapsed time. Desired visibility includes experience-collection rate, long-tail step behavior, and whether results remained physically valid.

  ⚡ Performance claims for sim need physics-validity and tail-latency metrics to be credible for training throughput and stability.

• [Question] Something different between 5.1 and 6.0

  github:isaac-sim/IsaacLab7/3/2026otherfigure

  User reports the same gripper configuration behaves differently between Isaac Sim 5.1 and 6.0 using ImplicitActuator settings. They are seeking what changed between versions that could explain the behavioral difference.

  ⚡ Behavior changes across Isaac Sim versions can break manipulation pipelines and undermine reproducibility unless actuator/physics deltas are well-documented and testable.

• Kamino setup benchmark

  github:newton-physics/newton7/3/2026other

  Request to benchmark Kamino setup time, including model conversion, solver initialization, and compilation time. Goal is to detect regressions in non-steady-state costs that affect iteration loops.

  ⚡ Tracking setup/compile overhead is essential because iteration speed (not just step speed) drives real developer productivity in Physical AI workflows.

• Mipicsi pwdn output

  nvidia-forum:robotics-edge-computing7/3/2026sensors-perceptionjetsonmipi-csicameragpiopwdnbringup

  Forum post asks about MIPI-CSI PWDN output. No additional context is given, implying a documentation or configuration gap for camera control signals.

  ⚡ Camera bring-up details like MIPI power-down (PWDN) control are still a common stumbling block, increasing time-to-camera for robotics developers.

• Unified Compliant ALM for VBD rigid bodies.

  github:newton-physics/newton7/3/2026renderingrenderingdxnewton

  Proposal to replace legacy constraint handling in SolverVBD with a unified compliant augmented-Lagrangian (ALM) approach for joints and contacts. The design separates authored stiffness from numerical enforcement and deprecates the old hard/soft switch path.

  ⚡ Modern compliant constraint formulations are becoming table-stakes for stable contact/joint behavior across manipulation and locomotion workloads.

• [BUG] Usd importer with authorhed center of mass , missing transform

  github:newton-physics/newton7/2/2026crashes-stabilitycrashusdnewton

  USD importer appears to mishandle authored center-of-mass transforms, yielding incorrect COM and unstable simulations during migration from PhysX USD assets. The report references OpenUSD rigid body physics expectations that COM is in local space.

  ⚡ USD asset migration correctness (mass properties frames) is critical; subtle importer frame bugs can silently destabilize downstream training and evaluation.

• AGX Orin Jetpack6.2 uarti 修改默认波特率失败

  nvidia-forum:robotics-edge-computing7/2/2026hardware-integrationjetson-agx-orinuartbaudratejetpack-6-2bringup

  Forum post says changing the default UARTi baud rate fails on AGX Orin with JetPack 6.2. No details are provided.

  ⚡ Low-level serial/UART configuration friction still slows board bring-up; clearer supported paths reduce integration time for OEMs.

• [Bug Report] Missing packages

  github:isaac-sim/IsaacLab7/2/2026renderingv6.0.1renderinghardwareisaac-simisaac-lab

  On Windows with pre-built Isaac Sim 6.0.1, installing Isaac Lab v3.0.0 beta/beta2 leaves missing Python packages even after the install script completes. The user verifies via pip check showing dependency issues.

  ⚡ Windows install reliability for Isaac Sim/Lab is still fragile; dependency gaps erode confidence for enterprise and academic users on Windows.

• Prevent omitted world ownership in custom-frequency rows

  github:newton-physics/newton7/2/2026training-infrarldxdocsmujoconewton

  ModelBuilder.add_custom_values can omit world ownership when callers don’t supply the world attribute, causing rows to default to world 0 instead of the active current_world. This can silently mis-assign data across worlds with no warning.

  ⚡ Silent world/namespace mis-assignment in environment builders can corrupt multi-world workloads; guardrails and validation are needed for scalable simulation authoring.

• Remove Model.Collide() - CollisionPipeline should be used directly

  github:newton-physics/newton7/2/2026other

  Proposal to remove Model.Collide and require direct use of CollisionPipeline to pass init arguments and avoid strange behavior with graph capture. This is framed as an API cleanup for more explicit control.

  ⚡ Making collision pipelines explicit helps avoid graph-capture edge cases and improves composability for high-performance simulation stacks.

• Possible to configure the SODIMM Pin # 94 (GPIO3_PGG.00) , 96 (GPIO3_PM.00), 114 (GPIO3_PH.06) & 120 (GPIO3_PAC.00) as GPIO input and output?

  nvidia-forum:robotics-edge-computing7/2/2026hardware-integrationjetsongpiopinmuxsodimmcarrier-board

  Forum post asks whether specific SODIMM pins can be configured as GPIO inputs/outputs. No additional context is provided.

  ⚡ GPIO configurability questions point to ongoing gaps in clear pinmux documentation and tooling for production carrier designs.

• Inquiry Regarding UEFI A/B Slot Control via GPIO on Jetson Orin R36.5.0

  nvidia-forum:robotics-edge-computing7/2/2026deploymentjetson-orinuefia-b-slotsgpior36-5ota

  Forum post inquires about controlling UEFI A/B slots via GPIO on Jetson Orin R36.5.0. No further details are provided.

  ⚡ Fleet update control needs hardware-level hooks; clear guidance for A/B slot management improves robustness for embedded deployments.

• Duplicate L_thumb_distal_joint in Fourier left hand config

  github:isaac-sim/IsaacLab7/2/2026otherisaac-labhumanoid

  The Fourier left hand retargeting config duplicates L_thumb_distal_joint, likely causing ambiguous joint mapping.

  ⚡ Small config errors in retargeting pipelines can silently degrade teleop quality, so validation and linting matter.

• Device Errata Sheet for AGX Orin

  nvidia-forum:robotics-edge-computing7/2/2026docs-onboardingagx-orinerratadocumentationhardware-designoem

  User requests a device errata sheet for AGX Orin, implying missing or hard-to-find hardware errata documentation.

  ⚡ Access to errata and hardware caveats is essential for OEMs to confidently design-in Jetson modules.

• Reusing PWM (32a0000.pwm / pwmchip1) for a custom application instead of pwm-fan

  nvidia-forum:robotics-edge-computing7/2/2026hardware-integrationpwmpwm-fandevice-treejetsoncarrier-board

  User wants to reuse a PWM controller currently used for pwm-fan for a custom application, indicating device-tree/service ownership friction.

  ⚡ Resource conflicts between system services (fan control) and user applications are common edge integration issues that need clear guidance.

• [Question] Question abount Isaac-Open-Drawer-Franka-v0 task

  github:isaac-sim/IsaacLab7/2/2026manipulationmanipulationfigure

  User is confused why a Franka open-drawer reward aligns the gripper z-axis to the handle -x direction, suggesting unclear frame conventions or documentation gaps.

  ⚡ Clear reward/frames conventions are crucial for reproducible RL results and for users to trust built-in tasks.

• Adam and SGD reuse optimizer state buffers from the wrong device

  github:NVIDIA/warp7/2/2026hardware-integrationhardwaredxwarp

  Warp Adam/SGD can reuse optimizer state buffers from the wrong device when parameters are replaced with same shape/dtype on another device, potentially causing illegal memory access on CUDA.

  ⚡ Multi-device correctness in Warp optimizers is critical as users increasingly mix CPU/CUDA in training and simulation pipelines.

• Deformable object hanging in the air

  nvidia-forum:simulation7/1/2026crashes-stabilitycrash

  Deformable object appears to hang in mid-air, indicating a physics/contact/constraint issue in simulation.

  ⚡ Deformable contact/constraints correctness is important for manipulation realism and trust in simulation outcomes.

• [BUG] Invalid hollow primitive shell thickness is accepted

  github:newton-physics/newton7/1/2026othernewton

  Invalid hollow primitive shell thickness values are accepted and can produce invalid inertia/mass properties instead of being rejected.

  ⚡ Preventing physically invalid mass/inertia inputs is necessary to keep simulations stable and trustworthy for training.

• Add wp.DualContouring and wp.IsoSurfaceBase interface for swappable isosurface extraction

  github:NVIDIA/warp7/1/2026renderingrenderinghardwaresensorsdxnewtonwarp

  Feature request to add wp.DualContouring and a shared wp.IsoSurfaceBase interface to allow swapping isosurface extraction backends similar to Newton's ViewerBase pattern.

  ⚡ Providing multiple isosurface extraction backends in Warp expands its utility for robotics geometry pipelines and differentiable reconstruction.

• Define consistent FREE/DISTANCE `joint_f` semantics across solvers

  github:newton-physics/newton7/1/2026tooling-dxdxdocsmujoconewtonwarp

  Newton needs consistent semantics for Control.joint_f for FREE and DISTANCE joints across solver implementations, as current behavior differs and is observable with nontrivial joint frames.

  ⚡ Consistent effort/force semantics across solvers are essential for portable controllers and validated benchmarks.

• How to publish a extension to community in isaac sim

  nvidia-forum:simulation7/1/2026integrationintegrationisaac-sim

  User asks how to publish an Isaac Sim extension to the community, indicating unclear distribution/onboarding guidance.

  ⚡ Lowering friction to publish extensions helps grow a community ecosystem around Isaac Sim and accelerates feature experimentation.

• VBD reports contact-buffer overflows for immovable bodies

  github:newton-physics/newton7/1/2026other

  Newton SolverVBD adds immovable bodies to per-body contact lists even though they are not solved, causing misleading contact-buffer overflow warnings and extra atomics. Scenes with many contacts on static/kinematic bodies can trigger these warnings.

  ⚡ Solver diagnostics must avoid noisy false positives to keep large-scene simulation debuggable.

• USB3.0 cable manual update voltage swing

  nvidia-forum:robotics-edge-computing7/1/2026hardware-integrationjetsonusb3signal-integrityhardware-support

  Forum post titled “USB3.0 cable manual update voltage swing” provides no body details in the corpus. It likely concerns USB3 signal integrity/voltage swing settings and update procedures.

  ⚡ Edge-hardware IO questions remain a steady support load that can impact time-to-deploy for robotics systems.

• HDMI support on the jetson orin nano SOM

  nvidia-forum:robotics-edge-computing7/1/2026hardware-integrationjetsonorin-nanohdmidisplayhardware-support

  Forum post asks about HDMI support on the Jetson Orin Nano SOM, with no additional context provided. This indicates ongoing uncertainty about display-interface support at the module level.

  ⚡ Clear platform IO capability docs (e.g., display outputs) reduce friction for Jetson-based robotics builds.

• What is version of DeepStream SDK for jetpack7.2 orin

  nvidia-forum:robotics-edge-computing7/1/2026docs-onboardingjetsonjetpack-7-2deepstreamcompatibilityversioning

  Forum post asks which DeepStream SDK version corresponds to JetPack 7.2 on Orin, with no additional details provided. This indicates confusion around compatible software stacks.

  ⚡ Version matrix clarity across JetPack/DeepStream reduces support burden and speeds edge deployment planning.

• Does the Jetson Orin Nano Developer Kit support Auto MDI-X on the onboard Ethernet port?

  nvidia-forum:robotics-edge-computing7/1/2026hardware-integrationjetsonorin-nanoethernetauto-mdixhardware-support

  Forum post asks whether the Jetson Orin Nano Developer Kit supports Auto MDI-X on the onboard Ethernet port. No further context is provided in the corpus.

  ⚡ Network interface capability questions imply gaps in easily discoverable hardware feature documentation.

• Guideline of making driver for SerDes

  nvidia-forum:robotics-edge-computing7/1/2026hardware-integrationjetsonserdesdriver-developmenthardware-integrationio

  Forum post asks for guidelines on making a driver for SerDes, with no body content in the corpus. It suggests developers need clearer enablement for serializer/deserializer integrations.

  ⚡ Guidance for custom high-speed interfaces (SerDes) is a recurring enablement need for robotics OEMs.

• Sparse group IDs break group-root isolation

  github:NVIDIA/warp7/1/2026hardware-integrationhardwarewarp

  Warp BVH/Mesh accept sparse group IDs but `*_get_group_root()` fails to isolate groups when IDs are non-dense (e.g., groups 0 and 2). This breaks traversal isolation on both CPU and CUDA and can lead to incorrect query results.

  ⚡ Core geometry acceleration structures must behave correctly under common partitioning patterns (sparse groups) to be reliable building blocks.

• JetPack 7.2 Yocto Release for Jetson is now live

  nvidia-forum:robotics-edge-computing6/30/2026docs-onboardingjetsonjetpack-7-2yoctoreleaseembedded-linux

  Forum post announces JetPack 7.2 Yocto Release for Jetson is now live, but includes no body details in the corpus. It indicates a new supported path for Yocto-based deployments.

  ⚡ Release announcements create demand for clear migration guidance and compatibility matrices across the Jetson software stack.

• JetPack 7.2 Yocto Release for Jetson is now live

  nvidia-forum:robotics-edge-computing6/30/2026docs-onboardingjetsonjetpack-7-2yoctoreleaseembedded-linux

  Forum post announces JetPack 7.2 Yocto Release for Jetson is now live, but includes no body details in the corpus. It duplicates the release message in another thread entry.

  ⚡ Release announcements create demand for clear migration guidance and compatibility matrices across the Jetson software stack.

• JetPack 7.2 Yocto Release for Jetson is now live

  nvidia-forum:robotics-edge-computing6/30/2026docs-onboardingjetsonjetpack-7-2yoctoreleaseembedded-linux

  Forum post announces JetPack 7.2 Yocto Release for Jetson is now live, but includes no body details in the corpus. It duplicates the release message in another thread entry.

  ⚡ Release announcements create demand for clear migration guidance and compatibility matrices across the Jetson software stack.

• JetPack 7.2 Yocto Release for Jetson is now live

  nvidia-forum:robotics-edge-computing6/30/2026docs-onboardingjetsonjetpack-7-2yoctoreleaseembedded-linux

  Forum post announces JetPack 7.2 Yocto Release for Jetson is now live, but includes no body details in the corpus. It duplicates the release message in another thread entry.

  ⚡ Release announcements create demand for clear migration guidance and compatibility matrices across the Jetson software stack.

• Validate Isaac Sim's force-based conveyor model with Newton solvers

  github:newton-physics/newton7/13/2026integrationisaac-simnewtonwarpconveyorcontact-forcesvalidation

  The request is to validate Isaac Sim’s force-based conveyor formulation (Warp kernels applying friction-limited tangential forces from contact impulses) using Newton solvers. Newton’s current conveyor example uses a rotating belt mesh and ordinary friction and

  ⚡ Aligning force-based interaction models across Isaac Sim and Newton improves portability of industrial workflows and reduces duplicated implementations.

• [Performance; Model editing] Batch adding of bodies/geoms/etc.

  github:google-deepmind/mujoco7/12/2026feature-requestsmujocoperformancemodel-editingapiprocedural-generationlarge-scenes

  MuJoCo's C model-editing API adds items one at a time and recomputes signature each time, which is painfully slow for large worlds. The request is for batch adding bodies/geoms/etc. to avoid repeated expensive recomputation.

  ⚡ High-throughput scene/model editing APIs matter for large procedural worlds and synthetic-data generation pipelines.

• [REQ] Warn when CollisionPipeline auto-sizes a very large rigid contact buffer

  github:newton-physics/newton7/8/2026tooling-dxnewtoncollision-pipelinecontactsmemorywarningsdx

  Request to warn when CollisionPipeline auto-sizes a very large rigid contact buffer allocation. The warning should include the resolved slot count/bytes, drivers (pair count, world count), and remediation (set rigid_contact_max explicitly).

  ⚡ Transparent resource sizing warnings help users avoid surprise OOMs and better tune simulations for large-batch training.

• Import USD deformable rest shapes

  github:newton-physics/newton7/7/2026asset-pipelinenewtonusddeformablesclothsoft-bodyrest-shape

  Feature request to import USD deformable rest shapes, requiring both USD parsing and Newton API support for separate live/rest geometry and rest-based properties. It calls out specific USD attributes and asks for validation/fallback behavior and tests.

  ⚡ Deformable rest-shape fidelity in USD import is key to scaling soft-body tasks and matching real material behavior in simulation-driven training.

• [REQ] Implement surface gripper as Newton example

  github:newton-physics/newton7/6/2026feature-requestsnewton-physicsisaac-labmanipulationsurface-gripperexamplesend-effector

  Request to implement a surface gripper as a Newton example, explicitly motivated by Isaac Lab needing a surface gripper. It points to an existing spec in another issue for implementation guidance.

  ⚡ Bridging missing manipulation end-effectors (e.g., surface grippers) via reference examples accelerates task coverage and lowers adoption friction for Isaac Lab users.

• [REQ] SensorLidar: site-attached spherical-scan range sensor composed over intersect_ray

  github:newton-physics/newton7/3/2026training-infrarlrenderinglocomotionsensorsintegrationnewton

  Request to add a site-attached lidar sensor that casts a configurable spherical fan of rays against the model BVH and returns per-ray hit distances (or -1.0 on miss). Proposed API includes azimuth/elevation configuration and min/max range handling.

  ⚡ First-class lidar primitives in the physics stack are key to scaling autonomy workloads that rely on ray-based sensing and domain randomization.

• [Proposal] Allegro hand in-hand manipulation task

  github:isaac-sim/IsaacLab7/3/2026training-infrarlusdmanipulationdocsisaac-simisaac-lab

  Proposal to add an Allegro hand in-hand cylinder rotation RL task with grasp-cache initialization, tuned reset poses, contact-aware rewards, a gravity curriculum, and RSL-RL train/play support. The goal is coordinated multi-finger rotation rather than relying

  ⚡ Curated, high-quality dexterous manipulation tasks (with strong resets and rewards) are a lever to make Isaac Lab the default benchmark/training suite for hand manipulation.

• IMX296 Global Shutter camera support on Jetson Orin Nano with JetPack 7 (L4T R39)?

  nvidia-forum:robotics-edge-computing7/2/2026sensors-perceptionjetson-orin-nanoimx296global-shuttercamera-supportjetpack-7l4t-r39

  Forum post asks about IMX296 global shutter camera support on Orin Nano with JetPack 7 (L4T R39). No details are provided beyond the compatibility question.

  ⚡ Expanding out-of-the-box sensor support (global shutter modules) directly increases Jetson’s attractiveness for robotics and industrial vision.

• HSB FPGA IP - Camera over Ethernet

  nvidia-forum:robotics-edge-computing7/2/2026hardware-integrationjetsonfpgacamera-over-ethernetsensor-bridgenetwork-vision

  Forum post mentions HSB FPGA IP for camera over Ethernet. With no body details, it reads as an inquiry about available IP/support for this pipeline.

  ⚡ There is growing interest in Ethernet-based sensor ingest via FPGA bridges; NVIDIA needs clear reference architectures for low-latency camera networking.

• Jetson Thor - Camera over Ethernet and GPU Direct Zero Copy DMA

  nvidia-forum:robotics-edge-computing7/2/2026hardware-integrationjetson-thorcamera-over-ethernetzero-copydmagdrhigh-bandwidth

  Forum post asks about Jetson Thor camera over Ethernet and GPU Direct zero-copy DMA. No additional details are provided.

  ⚡ Zero-copy ingest (GPUDirect-style) for high-bandwidth sensors is a strategic differentiator for edge robotics; users are explicitly asking for it on Thor.

• Can 10G Holoscan Sensor Bridge Simplify High-Bandwidth Vision Pipelines on Jetson?

  nvidia-forum:robotics-edge-computing7/2/2026hardware-integrationholoscansensor-bridge10gjetsonvision-pipelinehigh-bandwidth

  Forum post asks if a 10G Holoscan Sensor Bridge can simplify high-bandwidth vision pipelines on Jetson. No details are provided beyond the exploratory question.

  ⚡ High-bandwidth sensor ingest remains a strategic opportunity: users are evaluating whether Holoscan Sensor Bridge can simplify Jetson vision pipelines.