[DO-NOT-MERGE][Task Clean-up] Dexterous: lumped validation branch (series reference) by hujc7 · Pull Request #6324 · isaac-sim/IsaacLab

hujc7 · 2026-07-02T08:52:26Z

DO NOT MERGE — integrated reference branch for the dexterous task-cleanup series; the reviewable stack is in the Review Map below. Per-part details live in the part PRs.

Update (2026-07-16) — torch-first rework: the mainline task code was reworked torch-first per the stable task convention; the warp implementation moved to isaaclab_tasks_experimental (#6582, preserved from this branch's history).

Update (2026-07-17) — restack + validation: all parts rebuilt on the torch tree and CI-green; the Newton pin split out to #6584. Torch re-validation: Direct state SR 0.85–1.00 @2000 it; camera rsl_rl takeoff (reward peak 1222, SR peak 1.0) @1500 it — both with frame-verified videos.

Update (2026-07-18) — lump review round propagated: Parts 5/6/8 histories rebuilt with the review folded in (they had no human review yet); Parts 3/4 received append commits; Part 7 merged the rebuilt base. Union-of-parts verified byte-identical to this branch. The Newton pin remnants left this branch and live only in #6584.

Review Map

Exact changes: a stacked PR's page shows the cumulative diff of its dependency chain; the link pins the commit range that is the PR's own contribution.
Links pin specific SHAs and can go stale after a branch update — this table on [DO-NOT-MERGE][Task Clean-up] Dexterous: lumped validation branch (series reference) #6324 is refreshed first.

PR	Depends on	Exact changes
#6411 Part 1/9: Newton cloner/cubric/visualizer fixes	—	merged
#6412 Part 2/9: OVPhysX articulation + manager runtime	—	merged
#6413 Part 3/9: Reorient Direct, torch	—	changes
#6414 Part 4/9: MARL-to-single-agent fix + handover/camera Direct	#6413	changes
#6418 Part 5/9: Reorient manager counterparts	#6413	changes
#6421 Part 6/9: Handover + camera manager counterparts	#6413, #6414, #6418	changes
#6410 Part 7/9: Environment overview docs	#6421	changes
#6415 Part 8/9: Benchmark success-rate utilities	#6421	changes
#6582 Part 9/9: Warp variants → experimental (draft; merges last)	#6413	changes
📌 #6324 [DO-NOT-MERGE] Lumped validation reference (this PR)	ALL	—

Summary

Manager-based counterparts, boolean success metrics (Metrics/success_rate), and PhysX/Newton/OVPhysX presets for the assigned dexterous tasks (Allegro + Shadow reorientation, OpenAI FF/LSTM, camera, handover).
Fixes handover construction on Newton (renamed distal joints) and hand resets below joint limits.
The campaign table below is the warp-era record; rows refresh as torch reruns land.
Per-part scope, review updates, and validation: see each part PR (Review Map above).

Direct vs manager training reference (qualifying campaign, seed 42)

Cell format: reward|eplen|success_rate|{trained}iter (final Train/mean_reward, Train/mean_episode_length, Metrics/success_rate).

Iteration budgets: 500 (Allegro), 3000 (all other rows). Every cell's source run consumed its full budget — verified cell-by-cell against the runs' event files (all three metrics of each cell match one run's final-iteration scalars). Cells read reward | episode length | success rate | iterations actually trained.

Task	Backend	Direct	Manager
Reorient Allegro	PhysX	340 \| 259 \| 0.63 \| 500iter	212 \| 285 \| 0.23 \| 500iter
Reorient Allegro	Newton	267 \| 254 \| 0.48 \| 500iter	203 \| 295 \| 0.17 \| 500iter
Reorient Allegro	OVPhysX⁴	308 \| 252 \| 0.68 \| 500iter	165 \| 286 \| 0.18 \| 500iter
Reorient Shadow	PhysX	5725 \| 553 \| 1.00 \| 3000iter	6066 \| 566 \| 0.99 \| 3000iter
Reorient Shadow	Newton	3783 \| 523 \| 0.85 \| 3000iter	3866 \| 534 \| 0.86 \| 3000iter
Reorient Shadow	OVPhysX⁴	3337 \| 434 \| 1.00 \| 3000iter	4062 \| 479 \| 0.97 \| 3000iter
Shadow OpenAI FF	PhysX	5422 \| 480 \| 1.00 \| 3000iter	3688 \| 599 \| 0.94 \| 3000iter
Shadow OpenAI FF	Newton	2762 \| 356 \| 0.67 \| 3000iter	2779 \| 507 \| 0.75 \| 3000iter
Shadow OpenAI FF	OVPhysX⁴ ⁵	317 \| 162 \| 0.62 \| 3000iter	198 \| 238 \| 0.67 \| 3000iter
Shadow OpenAI LSTM	PhysX	5640 \| 605 \| 1.00 \| 3000iter	3811 \| 809 \| 0.93 \| 3000iter
Shadow OpenAI LSTM	Newton	3441 \| 479 \| 0.75 \| 3000iter	2278 \| 503 \| 0.76 \| 3000iter
Shadow OpenAI LSTM	OVPhysX⁴ ⁵	-16 \| 261 \| 0.33 \| 3000iter	41 \| 285 \| 0.42 \| 3000iter
Shadow Camera	PhysX	224 \| 564 \| 0.00² \| 3000iter	243 \| 595 \| 0.00² \| 3000iter
Shadow Camera	Newton	1307 \| 503 \| 0.83 \| 3000iter³	164 \| 457 \| 0.00² \| 3000iter
Shadow Handover	PhysX	1634 \| 441 \| 1.00 \| 3000iter	724 \| 367 \| 0.99 \| 3000iter
Shadow Handover	Newton	1471 \| 412 \| 1.00 \| 3000iter¹	1415 \| 400 \| 0.93 \| 3000iter¹
Shadow Handover	OVPhysX⁴	1613 \| 445 \| 1.00 \| 3000iter	1619 \| 446 \| 1.00 \| 3000iter

¹ Post-fix handover-Newton rows (Part 4's Newton fixes), full-budget qualifying runs on the warp-first environment code.
² Same success-rate definition as the other reorientation rows. Camera learning takes off late (reward ~400 plateau until a sharp transition; PhysX evidence crosses reward 1000 near iter ~1000, Newton near iter ~2300 — see ³); these rows' policies remained pre-takeoff at the recorded budget, so success at the 0.1 rad tolerance reads 0.00 and reward is the tracked pre-takeoff signal. The criterion itself is unchanged and proven reachable.
³ Full-budget qualifying run on the current branch head (seed 42, rgb_depth preset, Newton renderer, 1225 envs, rl_games workflow with its asymmetric actor-critic recipe): crossed reward 1000 at iter ~2300, tail-50 reward 1307, success rate 0.83 with ≥0.3 sustained for 43 consecutive iterations. Note the workflow difference: the other camera cells (and the rest of the table) are rsl_rl runs; the camera task has so far reached takeoff only under the rl_games recipe (also PhysX evidence: reward 1018, success 0.91 by iter ~1025), while the rsl_rl camera recipe remains pre-takeoff at full budget — a training-recipe sensitivity to be reconciled, not a physics/backend gap. Superseded on the torch tree: the torch-rework rsl_rl camera run reaches takeoff (reward > 1000, sr peak 1.0) by ~1500 iterations — the rsl_rl/rl_games recipe sensitivity no longer reproduces after the rework.
⁴ OVPhysX rows validated 2026-07-21/22 (same protocol: seed 42, 8192 envs, rsl_rl, full budget; env pins ovphysx==0.4.13 + omniverseclient 2.72.1 — the paired versions published on pypi.nvidia.com). First OVPhysX validation of these tasks.
⁵ The OpenAI variants' stock stepping (dt=1/60, decimation 3) is unstable on the OVPhysX runtime: grasp contact is lost and the cube free-falls from reset (~9-step episodes from iteration 0), while Kit-PhysX trains the identical config. Probes isolate the physics step size as the sole trigger; every other ovphysx-enabled task in the tree steps at 1/120 or finer. These cells run at dt=1/120, decimation 2 (the state rows' stepping). Success rate is the cross-backend comparison metric for these rows: the finer stepping triples the per-episode step count, so cumulative reward and episode length are not comparable to the dt=1/60 reference cells.
Reward scales differ per family; the Direct-vs-manager pair per row is the comparison that matters.

Torch re-validation (post-rework). Verified runs on the torch tree; the table below remains the warp-era campaign record.

Task	Workflow	Torch result	Warp-era, same recipe
Reorient Shadow Direct	Newton rsl_rl	3600–3900 \| sr 0.85–1.00 \| 2000it	3783 \| 0.85 \| 3000it
Shadow Camera Direct	Newton rsl_rl	peak 1222 \| sr peak 1.0 \| 1500it (takeoff)	pre-takeoff @3000it²
Shadow Camera Manager	Newton rsl_rl	2023 \| sr 0.87 \| 3000it (takeoff)	0.00 @3000it² (pre-takeoff)

Phase-2 requirement fulfillment

🟢 Met 🟡 Partial / queued 🔴 Gap ⚪ Not applicable

Overall Phase-2 status	Count	Share of 392 applicable requirements
🟢 Met	291	74%
🟡 Partial / queued	101	26%
🔴 Gap	0	0%
Estimated progress	291 met + 0.5 × 101 partial	87%

118 N/A cells are excluded. Success-related acceptance criteria (P2-C3–C7 and dependent P2-D1–D2) are deferred pending definition; no provisional threshold is treated as a requirement. Reward and episode length remain diagnostic only. Previously validated evidence is retained wherever the code path is unchanged by this diff (the OVPhysX path always used the production assets); only artifacts tied to the removed asset are queued for re-run. Sim-to-sim and sim-to-real are later waves and excluded. Current PR head: 5d7ddbbee82.

Allegro cube reorientation — 🟢 49 · 🟡 15 · 88%

Registered variant	🟢	🟡	⚪	Progress
`Isaac-Reorient-Cube-Allegro-Direct`	18	7	5	86%
`Isaac-Reorient-Cube-Allegro`	18	7	5	86%
`Isaac-Reorient-Cube-Allegro-Play`	13	1	16	96%

Shadow state cube reorientation — 🟢 36 · 🟡 14 · 86%

Registered variant	🟢	🟡	🔴	⚪	Progress
`Isaac-Reorient-Cube-Shadow-Direct`	18	7	0	5	86%
`Isaac-Reorient-Cube-Shadow`	18	7	0	5	86%

Shadow OpenAI FF cube reorientation — 🟢 36 · 🟡 14 · 86%

Registered variant	🟢	🟡	🔴	⚪	Progress
`Isaac-Reorient-Cube-Shadow-OpenAI-FF-Direct`	18	7	0	5	86%
`Isaac-Reorient-Cube-Shadow-OpenAI-FF`	18	7	0	5	86%

Shadow OpenAI LSTM cube reorientation — 🟢 36 · 🟡 14 · 86%

Registered variant	🟢	🟡	🔴	⚪	Progress
`Isaac-Reorient-Cube-Shadow-OpenAI-LSTM-Direct`	18	7	0	5	86%
`Isaac-Reorient-Cube-Shadow-OpenAI-LSTM`	18	7	0	5	86%

Shadow Camera cube reorientation — 🟢 100 · 🟡 28 · 89%

Registered variant	🟢	🟡	⚪	Progress
`Isaac-Reorient-Cube-Shadow-Camera-Direct`	19	9	2	84%
`Isaac-Reorient-Cube-Shadow-Camera`	19	9	2	84%
`Isaac-Reorient-Cube-Shadow-Camera-Direct-Play`	15	3	12	92%
`Isaac-Reorient-Cube-Shadow-Camera-Play`	15	3	12	92%
`Isaac-Reorient-Cube-Shadow-Camera-Benchmark-Direct`	16	2	12	94%
`Isaac-Reorient-Cube-Shadow-Camera-Benchmark`	16	2	12	94%

Area	ID · Requirement	Direct train	Manager train	Direct Play	Manager Play	Direct benchmark	Manager benchmark
Structure	`P2-S1` · Assigned registration accounted for	🟢 Registered and assigned	🟢 Registered and assigned	🟢 Registered and assigned	🟢 Registered and assigned	🟢 Registered and assigned	🟢 Registered and assigned
	`P2-S2` · Manager-based training environment	🟢 Manager train exists for family	🟢 Manager train exists for family	🟢 Manager train exists for family	🟢 Manager train exists for family	🟢 Manager train exists for family	🟢 Manager train exists for family
	`P2-S3` · Direct/Manager contracts comparable	🟢 Focused parity checks pass	🟢 Focused parity checks pass	🟢 Focused parity checks pass	🟢 Focused parity checks pass	🟢 Focused parity checks pass	🟢 Focused parity checks pass
	`P2-S4` · Rendering identified by Camera name	🟢 Camera in public ID	🟢 Camera in public ID	🟢 Camera in public ID	🟢 Camera in public ID	🟢 Camera in public ID	🟢 Camera in public ID
	`P2-S5` · Play/Eval implementation consolidated	⚪ Not a Play/Eval variant	⚪ Not a Play/Eval variant	🟡 Public Play ID retained; generic consolidation pending	🟡 Public Play ID retained; generic consolidation pending	⚪ Not a Play/Eval variant	⚪ Not a Play/Eval variant
Assets & backends	`P2-B1` · New asset evaluated; fallback justified	⚪ Dropped: new-asset adoption removed from the consolidated standard	⚪ Dropped: new-asset adoption removed from the consolidated standard	⚪ Dropped: new-asset adoption removed from the consolidated standard	⚪ Dropped: new-asset adoption removed from the consolidated standard	⚪ Dropped: new-asset adoption removed from the consolidated standard	⚪ Dropped: new-asset adoption removed from the consolidated standard
	`P2-B2` · PhysX / Newton / OV presets resolve	🟢 All three physics presets resolve	🟢 All three physics presets resolve	🟢 All three physics presets resolve	🟢 All three physics presets resolve	🟢 All three physics presets resolve	🟢 All three physics presets resolve
	`P2-B3` · PhysX constructs and trains	🟢 Exact-head PhysX train smoke and full-budget training pass	🟢 Exact-head PhysX train smoke and full-budget training pass	🟢 PhysX replay and evaluation video exported from restored-asset checkpoint	🟢 PhysX replay and evaluation video exported from restored-asset checkpoint	🟢 PhysX benchmark bundle recorded on restored assets	🟢 PhysX benchmark bundle recorded on restored assets
	`P2-B3` · Newton constructs and trains	🟢 Exact-head Newton train smoke and full-budget training pass	🟢 Exact-head Newton train smoke and full-budget training pass	🟢 Newton replay and evaluation video exported from restored-asset checkpoint	🟢 Newton replay and evaluation video exported from restored-asset checkpoint	🟢 Newton benchmark bundle recorded on restored assets	🟢 Newton benchmark bundle recorded on restored assets
	`P2-B3` · OVPhysX constructs and trains	🟢 Train smoke and corrected task-frame runtime probes pass	🟢 Train smoke and corrected task-frame runtime probes pass	🟢 Exact OVPhysX replay and video pass (path unchanged by asset restoration)	🟢 Exact OVPhysX replay and video pass (path unchanged by asset restoration)	🟢 OVPhysX benchmark bundle passes (path unchanged by asset restoration)	🟢 OVPhysX benchmark bundle passes (path unchanged by asset restoration)
	`P2-B4` · Supported renderer matrix works	🟡 7/8 pairs exit clean; Newton+OVRTX teardown gap	🟡 7/8 pairs exit clean; Newton+OVRTX teardown gap	🟡 7/8 pairs exit clean; Newton+OVRTX teardown gap	🟡 7/8 pairs exit clean; Newton+OVRTX teardown gap	🟡 7/8 pairs exit clean; Newton+OVRTX teardown gap	🟡 7/8 pairs exit clean; Newton+OVRTX teardown gap
	`P2-B5` · Camera framing and ground are usable	🟡 8/8 frame routes captured; human framing gate pending	🟡 8/8 frame routes captured; human framing gate pending	🟡 8/8 frame routes captured; human framing gate pending	🟡 8/8 frame routes captured; human framing gate pending	🟡 8/8 frame routes captured; human framing gate pending	🟡 8/8 frame routes captured; human framing gate pending
Success	`P2-C1` · RSL-RL configuration provided	🟢 RSL-RL config resolves	🟢 RSL-RL config resolves	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant
	`P2-C2` · Success rate logged efficiently	🟢 Success metric emitted through training extras	🟢 Success metric emitted through training extras	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant
	`P2-C3` · Success criterion defined and configured	🟡 Acceptance criterion pending definition	🟡 Acceptance criterion pending definition	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant
	`P2-C4` · Success met within iteration/time budget	🟡 Acceptance run deferred until criterion is defined	🟡 Acceptance run deferred until criterion is defined	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant
	`P2-C5` · Multi-seed sanity check	🟡 Multi-seed acceptance deferred with criterion	🟡 Multi-seed acceptance deferred with criterion	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant
	`P2-C6` · Policy replay meets success criterion	🟡 Policy acceptance replay deferred with criterion	🟡 Policy acceptance replay deferred with criterion	⚪ Not a qualifying-checkpoint row	⚪ Not a qualifying-checkpoint row	⚪ Not a qualifying-checkpoint row	⚪ Not a qualifying-checkpoint row
	`P2-C7` · Two-reviewer behavior validation	🟡 Behavior acceptance review deferred with criterion	🟡 Behavior acceptance review deferred with criterion	⚪ Validated at task-family policy level	⚪ Validated at task-family policy level	⚪ Validated at task-family policy level	⚪ Validated at task-family policy level
	`P2-C8` · Reward and episode length tracked (non-gating)	🟢 Exact M2 events contain reward and episode length	🟢 Exact M2 events contain reward and episode length	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant
Quality	`P2-Q1` · Task-code hygiene	🟢 Retained diff hygiene review passes	🟢 Retained diff hygiene review passes	🟢 Retained diff hygiene review passes	🟢 Retained diff hygiene review passes	🟢 Retained diff hygiene review passes	🟢 Retained diff hygiene review passes
	`P2-Q2` · Independent package dependencies	🟢 Wheel metadata covers direct imports, including Franka-soft deformable helpers	🟢 Wheel metadata covers direct imports, including Franka-soft deformable helpers	🟢 Wheel metadata covers direct imports, including Franka-soft deformable helpers	🟢 Wheel metadata covers direct imports, including Franka-soft deformable helpers	🟢 Wheel metadata covers direct imports, including Franka-soft deformable helpers	🟢 Wheel metadata covers direct imports, including Franka-soft deformable helpers
	`P2-Q3` · Variants and selections documented	🟢 Environment overview lists IDs and selections	🟢 Environment overview lists IDs and selections	🟢 Environment overview lists IDs and selections	🟢 Environment overview lists IDs and selections	🟢 Environment overview lists IDs and selections	🟢 Environment overview lists IDs and selections
	`P2-Q4` · Open-issue audit	🟢 Audit complete; only actually resolved issues close	🟢 Audit complete; only actually resolved issues close	🟢 Audit complete; only actually resolved issues close	🟢 Audit complete; only actually resolved issues close	🟢 Audit complete; only actually resolved issues close	🟢 Audit complete; only actually resolved issues close
	`P2-Q5` · Automated contract checks	🟢 Registration/parity/preset/asset/package checks pass	🟢 Registration/parity/preset/asset/package checks pass	🟢 Registration/parity/preset/asset/package checks pass	🟢 Registration/parity/preset/asset/package checks pass	🟢 Registration/parity/preset/asset/package checks pass	🟢 Registration/parity/preset/asset/package checks pass
Delivery	`P2-D1` · Current-asset qualifying checkpoint	🟡 Checkpoint qualification deferred with success criteria	🟡 Checkpoint qualification deferred with success criteria	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant	⚪ Not a training variant
	`P2-D2` · Replay/video and publication artifacts	🟡 Replay/publication acceptance deferred with success criteria	🟡 Replay/publication acceptance deferred with success criteria	⚪ Not a qualifying-checkpoint row	⚪ Not a qualifying-checkpoint row	⚪ Not a qualifying-checkpoint row	⚪ Not a qualifying-checkpoint row
	`P2-D3` · Runtime performance recorded	🟢 Steps/s, duration, and peak memory re-recorded on restored assets	🟢 Steps/s, duration, and peak memory re-recorded on restored assets	🟢 Steps/s, duration, and peak memory re-recorded on restored assets	🟢 Steps/s, duration, and peak memory re-recorded on restored assets	🟢 Steps/s, duration, and peak memory re-recorded on restored assets	🟢 Steps/s, duration, and peak memory re-recorded on restored assets
	`P2-D4` · Dashboard metrics recorded	🟢 Event, throughput, and peak-memory bundle re-recorded on restored assets	🟢 Event, throughput, and peak-memory bundle re-recorded on restored assets	⚪ Playback-only	⚪ Playback-only	🟢 Two-step benchmark event and runtime bundle recorded	🟢 Two-step benchmark event and runtime bundle recorded
	`P2-D5` · Recurring benchmark schema compatible	🟢 Program-wide M2 result schema validated	🟢 Program-wide M2 result schema validated	🟢 Program-wide M2 result schema validated	🟢 Program-wide M2 result schema validated	🟢 Program-wide M2 result schema validated	🟢 Program-wide M2 result schema validated

Shadow handover — 🟢 34 · 🟡 16 · 84%

Registered variant	🟢	🟡	🔴	⚪	Progress
`Isaac-Shadow-Handover-Direct`	17	8	0	5	84%
`Isaac-Shadow-Handover`	17	8	0	5	84%

greptile-apps · 2026-07-11T01:21:21Z

Greptile Summary

This PR adds the dexterous task convergence work across direct and manager environments. The main changes are:

Manager versions for Allegro, Shadow reorientation, camera, OpenAI, and handover tasks.
Warp-backed reward, observation, action, and success-metric paths.
OVPhysX runtime and articulation updates for new backend presets.
RSL-RL wrapper and MARL utility updates for shared observation buffers.
Regenerated docs, benchmark configs, tests, and camera goldens.

Confidence Score: 4/5

The handover manager reset observation path needs a fix before merging.

A newly reset handover manager episode can receive the terminal action from the previous episode.
The reward, reorientation, MARL wrapper, and OVPhysX changes reviewed here otherwise line up with their intended direct or backend contracts.

source/isaaclab_tasks/isaaclab_tasks/core/handover/mdp/observations.py

Important Files Changed

Filename	Overview
source/isaaclab_tasks/isaaclab_tasks/core/handover/mdp/observations.py	Adds manager handover observation terms; the reset action masking can expose previous-episode actions on the first post-reset observation.
source/isaaclab_tasks/isaaclab_tasks/core/handover/mdp/rewards.py	Adds Warp-backed handover reward and success metrics with scaling intended to match the Direct summed reward path.
source/isaaclab_tasks/isaaclab_tasks/core/reorient/mdp/rewards.py	Moves reorientation reward and success accounting into Warp kernels and caller-owned buffers.
source/isaaclab_tasks/isaaclab_tasks/core/reorient/reorient_direct_env.py	Rewrites direct reorientation actuation, observations, rewards, and reset bookkeeping to use Warp-backed state.
source/isaaclab_ovphysx/isaaclab_ovphysx/physics/ovphysx_manager.py	Adds compatibility handling for current and legacy OVPhysX runtime APIs.
source/isaaclab_ovphysx/isaaclab_ovphysx/assets/articulation/articulation.py	Updates actuator joint-id handling and actuator write paths for OVPhysX articulations.
source/isaaclab/isaaclab/envs/utils/marl.py	Adds observation-buffer and episode-length forwarding for MARL conversion wrappers.

_{Reviews (1): Last reviewed commit: "Calibrate camera benchmark gates from fu..." | Re-trigger Greptile}

greptile-apps · 2026-07-11T01:21:24Z

+    episode_length_buf = getattr(env, "episode_length_buf", None)
+    if reset_actions is None or action_name not in reset_actions or episode_length_buf is None:
+        return raw_action
+    return torch.where((episode_length_buf == 0).unsqueeze(-1), reset_actions[action_name], raw_action)


Terminal Action Leaks Forward

When a manager handover env autoresets, reset_handover_state stores the terminal raw action and episode_length_buf stays 0 for the first observation of the new episode. This branch then reports the previous episode’s action for the newly reset state, while the Direct handover path reports the current step action, so RSL-RL can train on stale actions at episode boundaries.

Add a behavioral Metrics/success_rate signal (goal-reach streaks per episode) and threshold-independent episode orientation-error diagnostics to the Direct reorientation environments, with the shared helpers in isaaclab_tasks.core.utils and torch math tests. The task logic is torch-first per the mainline convention; success gates task health while reward stays diagnostic. Also fix hand resets that could initialize joints below their lower position limits.

Add the RSL-RL runner configuration for the Shadow handover Direct task and success-rate metrics on the torch-first path, fix handover construction on Newton (renamed distal joints), and land the camera Direct renderer presets with configuration validation. RSL-RL observations now read from the public environment-owned obs_buf on all Direct env bases (reset stores the buffer like step), replacing the adapter-side private hook.

…eanup-dex-part08

…eanup-dex-part04

…eanup-dex-part11

…eanup-dex-part05

The lower layer's registration revert merged forward and un-renamed the camera entry points here, where the camera modules do carry the renamed filenames. Pin the registration block back to the final state.

…eanup-dex-part11 # Conflicts: # source/isaaclab_tasks/isaaclab_tasks/core/reorient/config/shadow_hand/__init__.py

…eanup-dex-part05

…isualizer teardown (#6411) ## Review Map - **Exact changes**: a stacked PR's page shows the cumulative diff of its dependency chain; the link pins the commit range that is the PR's own contribution. - Links pin specific SHAs and can go stale after a branch update — the table on #6324 is refreshed first. | PR | Status | Depends on | Exact changes | |---|---|---|---| | #6410 [Docs] Environment overview regen | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6410?label=) | — | — | | 📌 #6411 Part 1/8: Newton cloner/cubric/visualizer fixes (this PR) | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6411?label=) | — | — | | #6412 Part 2/8: OVPhysX articulation + manager runtime | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6412?label=) | — | — | | #6413 Part 3/8: Reorient Direct, torch | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6413?label=) | — | — | | #6414 Part 4/8: MARL-to-single-agent fix + handover/camera Direct | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6414?label=) | #6413 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6414/changes/6e8a63e4e028b2d43676ea30c446b9dc9068c7b5..5cb00e7cb5cc813b202521272e043007cd255194) | | #6418 Part 5/8: Reorient manager counterparts | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6418?label=) | #6413 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6418/changes/79f87501ac4c81de93a71dab00dc443da62113aa..e7c9a9a3fae3a7972b0c5165ae683abffb7d0e0f) | | #6421 Part 6/8: Handover + camera manager counterparts | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6421?label=) | #6413, #6414, #6418 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6421/changes/01c9f4d8c5c35a5688b2a5bb90209e16b8f81b99..835a5815ec49b11aada1d20a76c177054505e6e7) | | #6415 Part 7/8: Benchmark success-rate utilities + docs | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6415?label=) | #6413, #6414, #6418, #6421 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6415/changes/e1abb6b1790ccc57af42551eebccf743633f1f13..d6348539aa8032d9668c20a8fea462c5d88d3af9) | | #6582 Part 8/8: Warp variants → experimental (draft; merges last) | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6582?label=) | #6413 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6582/changes/21dbb1769c4e30c8e9e5b0f563c2dae24c230349..83e1587cadd9712a60615ed2a3cb2d177c2ac24d) | | #6324 [DO-NOT-MERGE] Lumped validation reference | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6324?label=) | ALL | — | ## Summary - Fixes Newton cloner label rows, the cubric IAdapter version audit (exact-match fallback to the CPU hierarchy path), and visualizer teardown. - Retains an in-tree `ignore_paths` workaround for custom-frequency USD traversal; it becomes redundant once the Newton pin advance (#6584) merges — this PR then only needs a rebase. ## Stacking - Independent; based on `develop`. ## Review history - Approved. The Newton pin + MuJoCo overrides were split out to #6584 via revert commits (2026-07-17) so this PR's CI runs against develop's pins.

Applies the P3-owned share of the lump review-response commits: - Default the dexterous tasks to newton_mjwarp (from 3f9ce324). - Drop solver defaults matching the backend + inline the scene preset via preset() instead of a wrapper class (from 29e189bf). - Simplify the Direct reorientation reward computation (from bfb73735). - Source the actuated-joint and fingertip body-name lists from the robot assets instead of the config module (from 34676102). Deferred to their owning layers: the core/utils relocation (S17) lands at the manager layer where reorient/mdp/events.py is introduced, and the handover default/preset changes land with the handover part.

…6414-fold

P4-owned share of the lump review-response commits: - Default the handover task to newton_mjwarp and add the ovphysx object preset alias (from 3f9ce324, 29e189bf). - Source the handover joint/body name lists from the robot assets (from 34676102). S17 (core/utils relocation) defers to the manager layer where reorient/mdp/events.py is introduced.

…6414-fold

Rebuilt from the reviewed lump so the manager counterparts land with the review rounds folded in: inline section values per file (drift guarded by the value-parity test incl. sim), identity from the common modules, the OpenAI variant in its own module, and no sim mixins. Lump review commits folded: 2c22af0, 792e400, 42675b6, 1f05f85, c6140f9, 173e9dc, 2727616, 1732493, 3659a33, ee272c9, cdaadac.

P5-owned share of the lump review-response commits: - Relocate the shared reset/rotation helpers into reorient/mdp/events.py and EpisodeErrorRecorder into reorient/mdp/rewards.py, removing the core/utils.py module (S17, from 428297c2). - Default the reorient manager cfgs to newton_mjwarp and source the hand name lists from the robot assets (from 3f9ce324, 34676102). - Repoint the Direct env to the relocated helpers.

…6421

Rebuilds P6 on the updated P4+P5, folding the P6-owned share: - Repoint handover to the relocated reorient.mdp helpers after the core/utils.py removal (S17 handover side, from 428297c2). - Inherits N2/preset/reward/names fixes via the rebuilt P4 and P5.

…6415-fold # Conflicts: # source/isaaclab_tasks/isaaclab_tasks/core/handover/handover_manager_env_cfg.py # source/isaaclab_tasks/isaaclab_tasks/core/handover/mdp/events.py # source/isaaclab_tasks/isaaclab_tasks/core/handover/mdp/rewards.py # source/isaaclab_tasks/isaaclab_tasks/core/reorient/config/allegro_hand/allegro_hand_manager_env_cfg.py # source/isaaclab_tasks/isaaclab_tasks/core/reorient/config/shadow_hand/shadow_hand_camera_manager_env_cfg.py # source/isaaclab_tasks/isaaclab_tasks/core/reorient/config/shadow_hand/shadow_hand_manager_env_cfg.py # source/isaaclab_tasks/isaaclab_tasks/core/reorient/config/shadow_hand/shadow_hand_openai_manager_env_cfg.py # source/isaaclab_tasks/isaaclab_tasks/core/reorient/mdp/events.py # source/isaaclab_tasks/isaaclab_tasks/core/reorient/mdp/rewards.py

Move the warp implementation of the Shadow reorientation and handover Direct environments (kernels, environments, kernel behavior tests) from the mainline task package to isaaclab_tasks_experimental, following the torch-first mainline convention. The variants register under -Direct-Warp-v0 IDs and reuse the stable configurations and agents. The Allegro warp variant keeps its existing legacy registration.

Mirror the mainline rename (reorient_reward) in the experimental warp package: the launcher is family-scoped, not paradigm-scoped, and the package already lives under direct/. Pure rename; no behavioral change.

Repoints the shadow-hand env.rst source links to the renamed _direct_ modules and lists ovphysx on the OpenAI-FF illustrated row (C1), completing the dexterous environment docs in the series.

The environment overview updates for the dexterous series belong in the dedicated docs PR (isaac-sim#6410), not the benchmark part. Reverts env.rst to the base version here.

Documents the dexterous reorientation and handover tasks' newton/ovphysx physics backends in the comprehensive table, and repoints the shadow-hand source links to the renamed _direct_ config modules. Stacked on Part 6 so every referenced task/module exists; inserted as the series' docs update.

The vision env renders through the Isaac RTX tiled camera, whose render products require the Fabric cloning path. The Newton backend disables Fabric cloning, so under Newton the rgb annotator has no render products at num_envs > 1 and the default RGB/depth/semantic render fails. Override the camera env's backend PresetCfgs to default to PhysX in __post_init__; Newton stays selectable via physics=newton_mjwarp.

…eorientation Direct tasks (#6413) ## Review Map - **Exact changes**: a stacked PR's page shows the cumulative diff of its dependency chain; the link pins the commit range that is the PR's own contribution. - Links pin specific SHAs and can go stale after a branch update — the table on #6324 is refreshed first. | PR | Status | Depends on | Exact changes | |---|---|---|---| | #6411 Part 1/9: Newton cloner/cubric/visualizer fixes | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6411?label=) | — | merged | | #6412 Part 2/9: OVPhysX articulation + manager runtime | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6412?label=) | — | merged | | 📌 #6413 Part 3/9: Reorient Direct, torch (this PR) | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6413?label=) | — | [changes](https://github.com/isaac-sim/IsaacLab/pull/6413/changes/f4895f0f9ee..d29afc75e71) | | #6414 Part 4/9: MARL-to-single-agent fix + handover/camera Direct | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6414?label=) | #6413 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6414/changes/d29afc75e71..b10a84948f8) | | #6418 Part 5/9: Reorient manager counterparts | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6418?label=) | #6413 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6418/changes/d29afc75e71..707d37f8f99) | | #6421 Part 6/9: Handover + camera manager counterparts | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6421?label=) | #6413, #6414, #6418 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6421/changes/707d37f8f99..b50ac8906fc) | | #6410 Part 7/9: Environment overview docs | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6410?label=) | #6421 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6410/changes/b50ac8906fc..af259c0778d) | | #6415 Part 8/9: Benchmark success-rate utilities | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6415?label=) | #6421 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6415/changes/b50ac8906fc..c7f2f019d8b) | | #6582 Part 9/9: Warp variants → experimental (draft; merges last) | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6582?label=) | #6413 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6582/changes/d29afc75e71..167c28578b3) | | #6324 [DO-NOT-MERGE] Lumped validation reference | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6324?label=) | ALL | — | ## Summary - Adds a behavioral `Metrics/success_rate` signal (goal-reach streaks per episode) and threshold-independent episode orientation-error diagnostics to the Direct reorientation environments; success gates task health, reward stays diagnostic. - Task logic is **torch-first** per the mainline convention (plain torch buffers; `.torch` accessors only at the core-lib boundary). This supersedes the earlier warp-first revision of this PR; the warp implementation moved to `isaaclab_tasks_experimental` (#6582). - Lands shared helpers in `isaaclab_tasks.core.utils` (`EpisodeErrorRecorder`, `sample_joint_positions_within_limits`) with torch math tests; fixes hand resets below lower joint limits. ## Stacking - First stack PR; based on `develop`. ## Validation - Kit-free torch math + utils tests green; Direct state training on Newton: success rate 0.85–1.00, reward ≈3600–3900 at 2000 iterations, frame-verified policy video. Full integrated evidence: #6324. ## Review history - The earlier warp-era review rounds on this PR are superseded by the torch restack (2026-07-16); the warp implementation and its review-polished kernels live on in #6582.

… and enable handover Direct RSL-RL (#6414) ## Review Map - **Exact changes**: a stacked PR's page shows the cumulative diff of its dependency chain; the link pins the commit range that is the PR's own contribution. This PR (#6414) is now rebased directly onto `develop`, so its own **Files changed** tab is its contribution. - Links pin specific SHAs and can go stale after a branch update — the table on #6324 is refreshed first. | PR | Status | Depends on | Exact changes | |---|---|---|---| | #6411 Part 1/9: Newton cloner/cubric/visualizer fixes | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6411?label=) | — | merged | | #6412 Part 2/9: OVPhysX articulation + manager runtime | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6412?label=) | — | merged | | #6413 Part 3/9: Reorient Direct, torch | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6413?label=) | — | merged | | 📌 #6414 Part 4/9: MARL-to-single-agent fix + handover/camera Direct (this PR) | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6414?label=) | — (on develop) | Files changed tab | | #6418 Part 5/9: Reorient manager counterparts | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6418?label=) | #6413 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6418/changes/d29afc75e71..707d37f8f99) | | #6421 Part 6/9: Handover + camera manager counterparts | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6421?label=) | #6414, #6418 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6421/changes/707d37f8f99..b50ac8906fc) | | #6410 Part 7/9: Environment overview docs | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6410?label=) | #6421 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6410/changes/b50ac8906fc..af259c0778d) | | #6415 Part 8/9: Benchmark success-rate utilities | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6415?label=) | #6421 | [changes](https://github.com/isaac-sim/IsaacLab/pull/6415/changes/b50ac8906fc..c7f2f019d8b) | | #6582 Part 9/9: Warp variants → experimental (draft; merges last) | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6582?label=) | — | [changes](https://github.com/isaac-sim/IsaacLab/pull/6582/changes/d29afc75e71..167c28578b3) | | #6324 [DO-NOT-MERGE] Lumped validation reference | ![](https://img.shields.io/github/pulls/detail/state/isaac-sim/IsaacLab/6324?label=) | ALL | — | ## Summary Converts the two-hand Shadow Hand **handover** task from multi-agent (MARL) to **single-agent** (enabling RSL-RL training), fixes the underlying MARL→single-agent observation bridge, and consolidates the shared Shadow Hand definitions into the asset. - **MARL → single-agent bridge (general, broader than this task).** Single-agent RL libraries train `DirectMARLEnv` tasks via `multi_agent_to_single_agent`; the bridge dropped the latest observations from the public buffer. Fixed generally — RSL-RL observations read from the env-owned `obs_buf`, stored by `reset` like `step` on all env bases (`DirectRLEnv`, `DirectMARLEnv`, the experimental warp base). Every MARL task + single-agent runner benefits; handover is the first consumer. - **Handover Direct → single-agent + RSL-RL.** Single-agent conversion, RSL-RL runner config, shared identity in `handover_common`, success-rate reward metrics, and a fix for its Newton construction failure (see below). - **Shadow Hand Newton robot → the asset.** Moved the Newton (MJWarp) robot cfg into `isaaclab_assets` as `SHADOW_HAND_NEWTON_CFG` (beside `SHADOW_HAND_CFG`); reorient and handover consume it as **siblings** (neither imports the other). Reorient uses the default gains; handover overrides only the finger stiffness/damping to `20/2` for its catch. - **Shadow camera cleanup.** Renamed the camera Direct modules to `shadow_hand_direct_camera_env[_cfg]`; moved cube-keypoint math to the shared, unit-tested `reorient/mdp/observations.py` (replacing the per-env `compute_keypoints` shim); and added OVPhysX physics presets to the handover and camera Direct environments. The camera env config is otherwise unchanged from develop. ### Behavior changes **Reorient-on-Newton is unchanged.** The Newton hand definition moves **verbatim** into `SHADOW_HAND_NEWTON_CFG` — same joint expressions, effort limits, gains, friction and armature — so its config diff vs `develop` is purely the move, and the Direct env config has no diff at all. Handover changes in three ways: - Its **default physics backend moves from PhysX to Newton** (MJWarp), matching the reorientation tasks. Pass `physics=physx` for the previous backend. - Its `distal_passive` actuator group is **removed**. It targeted `robot0_(FF|MF|RF|LF)J0` — joints that **do not exist** on the Newton asset (its fingers are numbered `J1`–`J4`/`J5`), so constructing the environment raised `No joints found for actuator group`. The `fingers` group already drives those joints, and the comment justifying the group (USD-baked `stiffness=286/damping=57`) does not apply to this asset, which authors no drive stiffness at all. - Two orientation fixes: the goal orientation was initialized to a 180-degree rotation instead of identity, and the Newton root rotation replaced the asset's baked rotation instead of composing with it, leaving both palms rotated 90 degrees. Two pre-existing discrepancies were found while verifying against the asset and are left for a follow-up, since each is a behavior change needing its own validation: the config sets `armature=2e-3` where the asset authors `0.0002`, and the per-finger `J1`/`J2` pair is coupled by a fixed tendon that the MJWarp solver currently skips — the actuator gains are what hold that pair together today, which is why the `J4` knuckle-abduction joints cannot simply be added to the driven set. ## Notes - Rebased onto **latest develop**; clean 3-commit history: `Add single-agent flattening for MARL Direct environments` / `Convert Shadow Hand handover to single-agent Direct with RSL-RL` / `Clean up Shadow reorient/camera tasks and consolidate the Newton hand`. ## Validation - Kit-free suite green: handover, keypoint math, the MARL adapter, and new checks pinning the RSL-RL wrapper observation contract (verified to fail against the previous implementation). - Camera Direct reaches training takeoff under `rsl_rl` (frame-verified videos); its env config now matches develop's established vision env. - **Reorient-on-Newton vs `develop`** (`rsl_rl`, 2048 envs, 1500 iterations, 4 runs per config): this branch spans 524–664 reward, `develop` spans 654–822 — overlapping distributions whose per-config spreads (140–168) exceed the gap between them. The move is additionally verified at the config level: the Newton robot configuration is character-for-character identical to `develop`'s. - **Handover-on-Newton** trains end-to-end on this branch (reward 1314), which the `develop` config cannot do at all — it fails during construction. Full evidence: #6324.

github-actions Bot added isaac-lab Related to Isaac Lab team asset New asset feature or request labels Jul 2, 2026

hujc7 force-pushed the jichuanh/dexterous-env-convergence-codex branch from 23c2ef8 to 99025bd Compare July 2, 2026 10:08

hujc7 changed the title ~~[Newton] Stabilize dexterous handover and camera training~~ [Newton] Stabilize dexterous hand tasks across backends Jul 2, 2026

github-actions Bot added the infrastructure label Jul 2, 2026

hujc7 force-pushed the jichuanh/dexterous-env-convergence-codex branch from 507b309 to 43ede30 Compare July 2, 2026 22:41

github-actions Bot added the documentation Improvements or additions to documentation label Jul 2, 2026

hujc7 changed the title ~~[Newton] Stabilize dexterous hand tasks across backends~~ [DO-NOT-MERGE][Task Clean-up] Dexterous: lumped validation branch (split into Parts 1-11) Jul 8, 2026

hujc7 marked this pull request as ready for review July 11, 2026 01:19

hujc7 requested review from ClemensSchwarke, Mayankm96, Toni-SM, jtigue-bdai and kellyguo11 as code owners July 11, 2026 01:19

greptile-apps Bot reviewed Jul 11, 2026

View reviewed changes

hujc7 mentioned this pull request Jul 14, 2026

[Task Clean-up][Docs] Dexterous Part 7/9: Environment overview updates for the reorientation series #6410

Open

hujc7 added 2 commits July 16, 2026 17:44

hujc7 added 8 commits July 22, 2026 09:25

Merge branch 'jichuanh/task-cleanup-dex-part03' into jichuanh/task-cl…

ddcd71e

…eanup-dex-part08

Merge branch 'jichuanh/task-cleanup-dex-part03' into jichuanh/task-cl…

6a43af9

…eanup-dex-part04

Merge branch 'jichuanh/task-cleanup-dex-part04' into jichuanh/task-cl…

9024129

…eanup-dex-part11

Merge branch 'jichuanh/task-cleanup-dex-part08' into jichuanh/task-cl…

538a3e9

…eanup-dex-part11

Merge branch 'jichuanh/task-cleanup-dex-part11' into jichuanh/task-cl…

9b79c13

…eanup-dex-part05

Re-pin camera registrations to this layer's renamed modules

5cb00e7

The lower layer's registration revert merged forward and un-renamed the camera entry points here, where the camera modules do carry the renamed filenames. Pin the registration block back to the final state.

Merge branch 'jichuanh/task-cleanup-dex-part04' into jichuanh/task-cl…

835a581

…eanup-dex-part11 # Conflicts: # source/isaaclab_tasks/isaaclab_tasks/core/reorient/config/shadow_hand/__init__.py

Merge branch 'jichuanh/task-cleanup-dex-part11' into jichuanh/task-cl…

d634853

…eanup-dex-part05

hujc7 added 17 commits July 23, 2026 13:26

Merge commit '0618f81af3add3e610802c560fdba6c6710e8b3a' into restack/…

60ff05a

…6414-fold

Add isaaclab_assets changelog fragment for the name-list additions

d29afc7

Merge commit 'd29afc75e715a6874e27b4bee1a591e8d1963065' into restack/…

b10a849

…6414-fold

Merge commit 'b10a84948f8c476b830c1855e651fd5504f5e073' into restack/…

020f21a

…6421

Drop the direct_ prefix from the warp reorient reward launcher

167c285

Mirror the mainline rename (reorient_reward) in the experimental warp package: the launcher is family-scoped, not paradigm-scoped, and the package already lives under direct/. Pure rename; no behavioral change.

Fix dexterous shadow-hand source links and ovphysx doc row

5af12e0

Repoints the shadow-hand env.rst source links to the renamed _direct_ modules and lists ovphysx on the OpenAI-FF illustrated row (C1), completing the dexterous environment docs in the series.

Move dexterous environment docs out of the benchmark PR

c7f2f01

The environment overview updates for the dexterous series belong in the dedicated docs PR (isaac-sim#6410), not the benchmark part. Reverts env.rst to the base version here.

u:P7

6c356e6

u:docs

1c2e62f

hujc7 force-pushed the jichuanh/dexterous-env-convergence-codex branch from 44fbfa5 to 1c2e62f Compare July 23, 2026 22:20

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Uh oh!

[DO-NOT-MERGE][Task Clean-up] Dexterous: lumped validation branch (series reference) - #6324

[DO-NOT-MERGE][Task Clean-up] Dexterous: lumped validation branch (series reference)#6324
hujc7 wants to merge 75 commits into
isaac-sim:developfrom
hujc7:jichuanh/dexterous-env-convergence-codex

hujc7 commented Jul 2, 2026 •

edited

Loading

Uh oh!

greptile-apps Bot commented Jul 11, 2026

Uh oh!

greptile-apps Bot Jul 11, 2026

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

1 participant

Uh oh!

Conversation

hujc7 commented Jul 2, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Review Map

Summary

Direct vs manager training reference (qualifying campaign, seed 42)

Phase-2 requirement fulfillment

Uh oh!

greptile-apps Bot commented Jul 11, 2026

Greptile Summary

Confidence Score: 4/5

Important Files Changed

Uh oh!

greptile-apps Bot Jul 11, 2026

Choose a reason for hiding this comment

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

1 participant

hujc7 commented Jul 2, 2026 •

edited

Loading