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I have done the following:

  • Imported Ball and Goal designed in Blender ( Works best by exporting USD directly and making sure to export the meshes and normals, no lights and volumes. This way it was possible to add DeformableBodyPhysics to the ball. GLB -> USD works fine for the goals).
  • Adjusted Booster_K1_env.py to instantiate the new objects in the scene and also reset their positions when the environment resets. (Also changed the prim_path of the objects, to be instantiated under each environment)

Issues:

  • Field.usd does not instantiate due to a missing payload linked to IsaacLab-nomadz/Downloads/spl_field(1).usd. Both the file and the Downloads folder is missing from the repository. Maybe its a workstation local folder.
  • Need to figure out a correct quaternion to rotate the goals properly.

Checklist

  • I have read and understood the contribution guidelines
  • I have run the pre-commit checks with ./isaaclab.sh --format
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • I have updated the changelog and the corresponding version in the extension's config/extension.toml file
  • I have added my name to the CONTRIBUTORS.md or my name already exists there

Oblivious20 and others added 30 commits June 8, 2025 13:58
…m#3392)

# Description

Recent isaac sim update introduced a new bug for non-headless scripts
where some scripts were hanging at simulation startup. This change
introduces a new unit test that aims to capture issues like this by
forcing the use of the non-headless app file.

Additionally, the isaac sim CI system has very unstable results for perf
testing, so we are disabling the performance-related tests for the sim
CI.

## Type of change

- Bug fix (non-breaking change which fixes an issue)


## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x]  I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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…ac-sim#3405)

# Description

The default_inertia attributes of the Articulation,
RigidObjectCollection, and RigidObject data asset classes did not
specify in what coordinate frame the tensors should be provided. This PR
addresses this, and addresses some minor inconsistencies across the
default_inertia docstrings.

## Type of change

- This change requires a documentation update

## Screenshots

ArticulationData

| Before | After |
| ------ | ----- |
| <img width="731" height="162" alt="image"
src="https://github.com/user-attachments/assets/7e2a6973-6264-4ba0-89d7-fd903e3bee6d"
/>| <img width="750" height="262" alt="image"
src="https://github.com/user-attachments/assets/470832e6-0164-4402-b4c7-6a5ac5e599a1"
/>|

RigidObjectCollectionData

| Before | After |
| ------ | ----- |
| <img width="731" height="181" alt="image"
src="https://github.com/user-attachments/assets/7d6bd039-b7f5-40e2-9180-33d0748694a8"
/> | <img width="733" height="276" alt="image"
src="https://github.com/user-attachments/assets/07bb32ca-628c-4132-8009-1db1c279d653"
/> |

RigidObjectData

| Before | After |
| ------ | ----- |
| <img width="732" height="160" alt="image"
src="https://github.com/user-attachments/assets/43b29f1c-3e92-4b96-925f-88cdf7ef3fc3"
/> | <img width="733" height="276" alt="image"
src="https://github.com/user-attachments/assets/d16bbc57-3939-4f2e-84cb-9ec135dcbe7e"
/> |


## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there
…m#3395)

# Description

Recent isaac sim update introduced a new bug for non-headless scripts
where some scripts were hanging at simulation startup. This change
introduces a new unit test that aims to capture issues like this by
forcing the use of the non-headless app file.

Additionally, the isaac sim CI system has very unstable results for perf
testing, so we are disabling the performance-related tests for the sim
CI.

## Type of change

- Bug fix (non-breaking change which fixes an issue)


## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x]  I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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# Description

Running on Spark requires the latest nightly torch build. Added a check
in the installation script for ARM platforms and force an install of the
nightly torch build if ARM architecture is detected.

## Type of change

<!-- As you go through the list, delete the ones that are not
applicable. -->

- Bug fix (non-breaking change which fixes an issue)
- New feature (non-breaking change which adds functionality)
- This change requires a documentation update


## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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# Description

Bumps version to 2.3 in preparation for release.
Adds a note in the README for to indicate active development for the
release branch.
Updates Isaac Sim dependency to 5.1.
Updates asset server to 5.1 staging.


## Type of change


- New feature (non-breaking change which adds functionality)
- This change requires a documentation update


## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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# Description

Adding new collision mesh property options allowing users to configure
meshes to add different collision types

## Type of change

- New feature (non-breaking change which adds functionality)

## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

---------

Signed-off-by: Harsh Patel <[email protected]>
Co-authored-by: James Tigue <[email protected]>
Co-authored-by: James Tigue <[email protected]>
Co-authored-by: Kelly Guo <[email protected]>
…c-sim#3378)

# Description

This PR provides remake and extension to orginal environment
kuka-allegro-reorientation implemented in paper:
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with
Population Based Training
(https://arxiv.org/abs/2305.12127)
[Aleksei
Petrenko](https://arxiv.org/search/cs?searchtype=author&query=Petrenko,+A),
[Arthur
Allshire](https://arxiv.org/search/cs?searchtype=author&query=Allshire,+A),
[Gavriel
State](https://arxiv.org/search/cs?searchtype=author&query=State,+G),
[Ankur
Handa](https://arxiv.org/search/cs?searchtype=author&query=Handa,+A),
[Viktor
Makoviychuk](https://arxiv.org/search/cs?searchtype=author&query=Makoviychuk,+V)

and another environment kuka-allegro-lift implemented in paper:
Visuomotor Policies to Grasp Anything with Dexterous Hands
(https://dextrah-rgb.github.io/)
[Ritvik Singh](https://www.ritvik-singh.com/), [Arthur
Allshire](https://allshire.org/), [Ankur
Handa](https://ankurhanda.github.io/), [Nathan
Ratliff](https://www.nathanratliff.com/), [Karl Van
Wyk](https://scholar.google.com/citations?user=TCYAoF8AAAAJ&hl=en)


Though this is a remake, this remake ends up differs quite a lot in
environment details for reasons like:
1. Simplify reward structure,
2. Unify environment implemtation,
3. Standarize mdp,
4. Utilizes manager-based API

That in my opinion, makes environment study and extension more
accessible, and analyzable. For example you can train lift policy first
then continuing the checkpoint in reorientation environment, since they
share the observation space. : ))

It is a best to consider this a very careful re-interpretation rather
than exact execution to migrate them to IsaacLab

Here is the training curve if you just train with
`./isaaclab.sh -p scripts/reinforcement_learning/rsl_rl/train.py --task
Isaac-Dexsuite-Kuka-Allegro-Lift-v0 --num_envs 8192 --headless`

`./isaaclab.sh -p -m torch.distributed.run --nnodes=1 --nproc_per_node=4
scripts/reinforcement_learning/rsl_rl/train.py --task
Isaac-Dexsuite-Kuka-Allegro-Reorient-v0 --num_envs 40960 --headless
--distributed`

lift training ~ 4 hours
reorientation training ~ 2 days

Note that it requires a order of magnitude more data and time for
reorientation to converge compare to lift under almost identical setup

training curve(screen captured from Wandb) - reward, 
Cyan: reorient, Purple: Lift
<img width="1487" height="780" alt="Screenshot from 2025-09-07 22-58-13"
src="https://github.com/user-attachments/assets/bfa911de-4fee-4c0d-b39c-e9c33fae28f4"
/>


video results 
lift

![cone_lift](https://github.com/user-attachments/assets/e626eadb-b281-4ec9-af16-57f626fcc6aa)

![fat_capsule_lift](https://github.com/user-attachments/assets/cde57d4c-ceb2-40ab-88dd-44320da689c5)

reorient

![cube_reorient](https://github.com/user-attachments/assets/752809cb-ea19-4701-b124-20c1909e4566)

![rod_reorient](https://github.com/user-attachments/assets/f009605a-d93c-491c-b124-ff08606c63ec)


Memo:
I really enjoy working on this remake, and hopefully for whoever plan to
play and extend on this remake find it helpful and similarily joyful as
I did. I will be very excited to see what you got : ))

Octi


CAUTION:
Do Not Merge until the asset is uploaded to S3 bucket!

Fixes # (issue)
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applicable. -->

- New feature (non-breaking change which adds functionality)

## Screenshots

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## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [x] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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# Description

This PR introduces the Population Based Training algorithm originally
implemented in

Petrenko, Aleksei, et al. "Dexpbt: Scaling up dexterous manipulation for
hand-arm systems with population based training." arXiv preprint
arXiv:2305.12127 (2023).

Pbt algorithm offers a alternative to scaling when increasing number of
environment has margin effect.
It takes idea in natural selection and stochastic property in
rl-training to always keeps the top performing agent while replace weak
agent with top performance to overcome the catastrophic failure, and
improve the exploration.

Training view, underperformers are rescued by best performers and later
surpasses them and become best performers
<img width="1078" height="509" alt="Screenshot from 2025-09-09 00-55-11"
src="https://github.com/user-attachments/assets/34434bf1-5cb6-4956-a344-49c9969d4861"
/>


Note:
PBT is still at beta phase and has below limitations:

1. in theory It can work with any rl algorithm but current
implementation only works for rl-games
2. The API could be furthur simplified without needing explicitly input
num_policies or policy_idx, which allows for dynamic max_population, but
it is for future work

## Screenshots

Please attach before and after screenshots of the change if applicable.

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## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [x] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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# Description

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to check the contribution guidelines.

Link:
https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html
-->

Fixes the import issues via "path:Module" in below files, which will not
import all modules/dependencies unless in use
```
- isaaclab_tasks/manager_based/manipulation/stack/config/galbot/__init__.py
- isaaclab_tasks/manager_based/manipulation/stack/config/ur10_gripper/__init__.py
- isaaclab_mimic/envs/__init__.py
```


<!-- As a practice, it is recommended to open an issue to have
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## Type of change

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applicable. -->

- Bug fix (non-breaking change which fixes an issue)



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## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
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- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
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…im#3150)

# Description

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to check the contribution guidelines.

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Contributors: @huihuaNvidia2023, @rwiltz, @life1ess, @peterd-NV,
@yanchangNvidia

These changes introduce new environments:
`Isaac-PickPlace-Locomanipulation-G1-Abs-v0` and
`Isaac-PickPlace-FixedBaseUpperBodyIK-G1-Abs-v0`. These environments,
specially the locomanipulation one, feature:
1. The G1 robot with the retargeter for 3-finger dexterous hand to
operator hands tracked by Apple Vision Pro
2. A locomotion policy trained with RL that enables G1 to walk and
follow a input velocity command (vx, vy, wz, h) linear velocity in two
axes, angular velocity around its pelvis' z-axis, and height distance of
the pelvis from the feet.
3. Integration with upper body controller that is driven by Inverse
Kinematics.

Below is a diagram showing the high level controller composition. The
environments introduced have the waist controlled by IK, but it is
possible to configure it such that waist DOFs are controlled by the
lower body policy as well.
<img width="645" height="275" alt="image"
src="https://github.com/user-attachments/assets/accc4a46-dda5-4714-9a54-7812125753a2"
/>

This code has been tested through the [Mimic
pipeline](https://laughing-dollop-wom7611.pages.github.io/devel/source/overview/teleop_imitation.html),
and the output dataset was used to [train a robomimic
policy](https://laughing-dollop-wom7611.pages.github.io/devel/source/overview/teleop_imitation.html#training-an-agent)
that achieves a success rate of **92% from 50 policy rollouts**.

Fixes # (issue)

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Some fixes included in these changes:
1. Previously, Inverse kinematics relied on an input URDF of the robot
to load a pinocchio kinematics model. This URDF was exported from the
robot asset USD through USD to URDF export extension, however, if the
extension is not setup properly, the joint ordering can change causing
unexpected behavior due to mismatch of joint ordering between the IK
controller and that of Isaac Lab. For the G1 asset, we are for now using
a URDF asset directly instead of relying on the URDF exporter.
2. Previously, the Inverse Kinematics controller assumed that for its
kinematics model, only the joints that are being controlled by IK need
to be updated, but when combined with other controllers on other joints
this assumption breaks. Added a new kinematics configuration
`class:PinkKinematicsConfiguration` that allows for all joints of an
articulation to be updated while only a subset are controlled by IK.

## Type of change

<!-- As you go through the list, delete the ones that are not
applicable. -->

- New feature (non-breaking change which adds functionality)

## Screenshots
![Locomanipulation Teacher Policy - Robomimic
Policy](https://github.com/user-attachments/assets/983b12af-f8e2-42bb-a942-92380348a843)
Robomimic policy for PickPlace trained with the Locomanipulation
environment. We achieve 92% success rate from 50 rollouts.

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## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

⚠️ This PR depends on isaac-sim#3149  and should only be merged after that PR
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---------

Co-authored-by: Huihua Zhao <[email protected]>
Co-authored-by: Rafael Wiltz <[email protected]>
Co-authored-by: Sergey Grizan <[email protected]>
Co-authored-by: Kelly Guo <[email protected]>
Co-authored-by: Philipp Reist <[email protected]>
# Description

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to check the contribution guidelines.

Link:
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Adds two place tasks and mimic tasks with Agibot A2D humanoid, using
RMPFlow controller:

- add agibot robot config in agibot.py and .usd asset
- add motion_policy_configs and .urdf for rmpflow controller
- add new task cfg: place_toy2box_rmp_rel_env_cfg, and
place_upright_mug_rmp_rel_env_cfg
- add new mimic task cfg: agibot_place_toy2box_mimic_env_cfg, and
agibot_place_upright_mug_mimic_env_cfg
- add new mimic task: in pick_place_mimic_env.py
- add new subtasks in mdp.observations/terminations: object_grasped,
object_placed_upright, object_a_is_into_b

Notes: This PR relies on PR
(isaac-sim#3210) for RmpFlowAction
support.

You can test the whole gr00t-mimic workflow by:

1. Record Demos
```
./isaaclab.sh -p scripts/tools/record_demos.py \
  --dataset_file datasets/recorded_demos_agibot_right_arm_rel.hdf5 \
  --task Isaac-Place-Toy2Box-Agibot-Right-Arm-RmpFlow-v0 \
  --teleop_device spacemouse \
  --num_demos 1
```
2. Replay Demos
```
./isaaclab.sh -p scripts/tools/replay_demos.py \
  --dataset_file datasets/recorded_demos_agibot_right_arm_rel.hdf5 \
  --task Isaac-Place-Toy2Box-Agibot-Right-Arm-RmpFlow-v0 \
  --num_envs 1
```
3. Annotate Demos
```
./isaaclab.sh -p  scripts/imitation_learning/isaaclab_mimic/annotate_demos.py \
  --input_file datasets/recorded_demos_agibot_right_arm_rel.hdf5 \
  --output_file datasets/annotated_demos_agibot_right_arm_rel.hdf5 \
  --task Isaac-Place-Toy2Box-Agibot-Right-Arm-RmpFlow-Rel-Mimic-v0 \
  --auto 
```
4. Generate Demos
```
./isaaclab.sh -p scripts/imitation_learning/isaaclab_mimic/generate_dataset.py \
  --input_file datasets/annotated_demos_agibot_right_arm_rel.hdf5 \
  --output_file datasets/generated_demos_agibot_right_arm_rel.hdf5 \
  --task Isaac-Place-Toy2Box-Agibot-Right-Arm-RmpFlow-Rel-Mimic-v0 \
  --num_envs 16 \
  --generation_num_trials 10
```

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## Type of change

<!-- As you go through the list, delete the ones that are not
applicable. -->

- New feature (non-breaking change which adds functionality)

## Screenshot
<img width="1401" height="567" alt="environments_agibot"
src="https://github.com/user-attachments/assets/bc95e83a-e334-4dfc-a65c-3d1d97be0c4b"
/>


## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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---------

Signed-off-by: rebeccazhang0707 <[email protected]>
Signed-off-by: Kelly Guo <[email protected]>
Co-authored-by: Kelly Guo <[email protected]>
…c-sim#3412)

# Description

Fail the pre-merge CI job for a fork PRs when general tests fail
- Add step to check test results for PRs from forks
- Parse XML test report to detect failures/errors
- Fail job immediately if tests don't pass for fork PRs
- Maintain existing behavior for same-repo PRs

## Type of change

<!-- As you go through the list, delete the ones that are not
applicable. -->

- Bug fix (non-breaking change which fixes an issue)

## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
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feature works
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extension's `config/extension.toml` file
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exists there
…-sim#3259)

# Description

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This PR adds locomanipulation data generation via disjoint navigation.
It allows the user to replay static manipulation data recorded with the
G1 through an end to end pick-up -> navigate -> drop-off pipeline.


![g1_locomanip_dn](https://github.com/user-attachments/assets/59a0322c-3207-45b3-905b-dedb3b591f55)

The code for this PR is contained in the folder
``scripts/isaaclab/imitation_learning/disjoint_navigation``, and does
not modify existing IsaacLab extensions.

The code is as follows:

- ``replay.py`` - Main entry script for loading the static-manipulation
dataset and generating locomanipulation dataset
- ``common.py`` - Common classes and abstract base classes for the data
generation pipeline. This code may be re-used by different scenarios.
- ``occupancy_map.py`` - Helper class and methods for working with
occupancy maps.
- ``path_utils.py`` - Helper class used by path controller for following
a path
- ``display_dataset.py`` -- Utility script for visualizing generated
trajectories with matplotlib
- ``g1_29dof.py`` - The example scenario using G1 + WBC with random
forklifts and boxes. This may be copied modified by end users to support
their own scenarios.
- ``visualization.py`` - Code to visualize occupancy map in USD stage
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`./isaaclab.sh --format`
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Co-authored-by: Michael Lin <[email protected]>
Co-authored-by: Huihua Zhao <[email protected]>
Co-authored-by: Kelly Guo <[email protected]>
…ickPlace task as an example (isaac-sim#3242)

# Description
Teleop support for Unitree G1 with Inspire 5-finger hand, take PickPlace
task as an example.

# Type of change
- New feature (non-breaking change which adds functionality)

## Changes:
-Preparation of the humanoid robot asset: Unitree G1 (29 DOF) with
Inspire 5-finger hand
-Configuration of the robot’s articulation
-Retargeting setup for the humanoid robot
-Creation of the manipulation task environment:
pickplace_unitree_g1_inspire_hand_env_cfg.py
-Updated the how-to tutorial of
[cloudxr_teleoperation.rst](https://github.com/isaac-sim/IsaacLab/pull/3242/files#diff-3896784d4dbd3e2106adae8f4ab65530a3bb87430cf8d15463aff37f3a975fec).

Below is a diagram showing the robot asset and the workflow in teleop.

![teleop_diagram](https://github.com/user-attachments/assets/4c247c6d-57d6-4d18-90ed-1b2af7827437)



# Test Steps
1. Run the teleop task with:   
python scripts/tools/record_demos.py \
    --task Isaac-PickPlace-G1-InspireFTP-Abs-v0 \
    --teleop_device handtracking \
    --enable_pinocchio    

2. Replay the collected demos with:    
python scripts/tools/replay_demos.py \
    --task Isaac-PickPlace-G1-InspireFTP-Abs-v0 \
    --enable_pinocchio \
    --dataset_file datasets/dataset.hdf5

## Screenshots
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![changelog](https://github.com/user-attachments/assets/e8781d07-b327-4b56-b528-fcbafbaf15b9)

## Checklist

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feature works
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extension's `config/extension.toml` file
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exists there

---------

Signed-off-by: yami007007 <[email protected]>
Signed-off-by: Kelly Guo <[email protected]>
Co-authored-by: Kelly Guo <[email protected]>
Co-authored-by: Weihua Zhang <[email protected]>
…isaac-sim#3411)

# Description

Update namespace for materials and objects in the terrain generator
test.

Fixes isaac-sim#3383

## Type of change

- Bug fix (non-breaking change which fixes an issue)

## Checklist

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`./isaaclab.sh --format`
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feature works
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extension's `config/extension.toml` file
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exists there
# Description

Adds a logdir parameter for all environment configs to allow passing of
the log dir for each experiment from the training/inferencing scripts to
the environment object.

This allows environments to access the logdir for the run and store log
files in there, such as from the feature extractor.


## Type of change

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applicable. -->

- Bug fix (non-breaking change which fixes an issue)


## Checklist

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`./isaaclab.sh --format`
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- [x] My changes generate no new warnings
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feature works
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extension's `config/extension.toml` file
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exists there

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---------

Signed-off-by: Kelly Guo <[email protected]>
Signed-off-by: Kelly Guo <[email protected]>
Co-authored-by: Mayank Mittal <[email protected]>
# Description

Fixes a linter error from a previous PR that I didn't have access to
fix.

## Type of change

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applicable. -->

- Bug fix (non-breaking change which fixes an issue)

## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
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`./isaaclab.sh --format`
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- [ ] My changes generate no new warnings
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extension's `config/extension.toml` file
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# Description

URL address to downloaded G1 sample dataset was fixed in these changes.

Fixes # (issue)

URL was pointing to wrong public server address. It has been corrected.

## Type of change

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applicable. -->

- Bug fix (non-breaking change which fixes an issue)

## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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# Description

Fix: teleop G1 with Inspire hand (PR isaac-sim#3242), modifications includes:
- Correct the USD asset path of G1_INSPIRE_FTP_CFG
- Increase arm damping for stability using the new pink_ik wrapper


## Type of change

- Bug fix (non-breaking change which fixes an issue)


## Screenshots

- Only modified the `unitree.py` file.


## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
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feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
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exists there
# Description

This PR improves the robustness in detecting arm system and correctly
install torch nightly build for cuda130

Fixes # (issue)


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- Bug fix (non-breaking change which fixes an issue)

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## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
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feature works
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Co-authored-by: Mayank Mittal <[email protected]>
…aac-sim#3479)

# Description

Fix: teleop G1 with Inspire hand (PR
isaac-sim#3242), add the
Isaac-PickPlace-G1-InspireFTP-Abs-v0 task into environment docs.

## Type of change

- Documentation update


## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there
# Description
With kitxr 107.3.111, we can save cpu time by skipping writes to usd
stage since all the data is in fabric. This gives us back 11ms (on my
machine) on the main thread. Additionally, texture streaming was
bottlenecking the render thread. Disabling gave us back 11ms on the
renderthread. Together, it gave me back 11ms.

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Fixes # (issue)

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## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
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`./isaaclab.sh --format`
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extension's `config/extension.toml` file
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isaac-sim#3489)

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Updates the Isaac Lab Mimic doc tutorials according to prior reviewer
feedback.
Changes:

1. Clarify demo success criteria for Demo 2 (humanoid pouring task)
2. Add visualization at the start of Demo 2 to clearly indicate that it
is a different task from Demo 1.
3. Document the dataset of Demo 2

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(cherry picked from commit 137106d)
…#3483)

# Updates the path to IsaacLab directory in SkillGen documentation

## Description

This PR updates the IsaacLab workspace path for clarity and consistency
in SkillGen documentation.

- Updated `docs/source/overview/imitation-learning/skillgen.rst`
(Download and Setup section)
- Replaced:
  - Before: `cd /path/to/your/isaaclab/root`
  - After: `cd /path/to/your/IsaacLab`

Motivation: Aligns with the repository name and common workspace
convention, reducing confusion and preventing copy-paste errors for
users following setup steps.

Dependencies: None

## Type of change

- Documentation update

## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there
# Description

Update the user on wrist calibration status with terminal outputs.
Remove unnecessary error logs at the beginning of the session, when
joint data has not arrived yet.

## Type of change

- Bug fix (non-breaking change which fixes an issue)

---------

Co-authored-by: Mayank Mittal <[email protected]>
# Description

This PR removes a `UserWarning` from PyTorch about using
`torch.tensor()` on an existing tensor in `events.py`. It replaces
`torch.tensor(actuator.joint_indices, device=asset.device)` with
`.to(device)` to avoid unnecessary copies.

Warning mentionned:

```bash
/home/spring/IsaacLab/source/isaaclab/isaaclab/envs/mdp/events.py:542: 
UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). actuator_joint_indices = torch.tensor(actuator.joint_indices, device=asset.device)
```

## Type of change

- Bug fix (non-breaking change which fixes an issue)

## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

---------

Signed-off-by: Louis LE LAY <[email protected]>
Co-authored-by: ooctipus <[email protected]>
Co-authored-by: Mayank Mittal <[email protected]>
kellyguo11 and others added 13 commits October 27, 2025 11:37
…ts (isaac-sim#3778)

# Description

There were some recent updates to a couple of our dependency packages
that have updated their licenses. Updating our license checker
exceptions to match with the new updated licenses for these packages.

Additionally, adds a note in the simulation performance documentation
for CPU governor setting to improve performance.

Also, updates a few unit tests to mark as flaky as we've shown in recent
CI runs.


## Type of change

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applicable. -->

- Bug fix (non-breaking change which fixes an issue)
- Documentation update

## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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)

We were incorrectly converting all numpy array data in the TiledCamera
class into uint8 type warp arrays when simulation device is set to CPU.
Some annotations like depth are float32 while segmentation data is
uint32. The correct behavior should convert to warp arrays depending on
the input data type of the numpy array.

Additionally, rlgames configs were set to cuda device by default but
were not being overridden when users specify the simulation device to
CPU through cmdline. We should propagate the device setting to the
rlgames configs so that we can run training on the same device, similar
to how RSL RL is set up.

Fixes isaac-sim#3526

- Bug fix (non-breaking change which fixes an issue)

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
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`./isaaclab.sh --format`
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feature works
- [x] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
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exists there

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# Description

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Updates mimic doc for manipulator expected success stats for both
state-based and visuomotor policy training.
Enhances documentation for SkillGen & Imitation learning workflows. 

## Type of change

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applicable. -->

- Documentation update


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## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
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`./isaaclab.sh --format`
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- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
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Co-authored-by: Kelly Guo <[email protected]>
# Description

Documentation update for release notes for the 2.3 release and some
final updates on recommended driver versions.

## Type of change

- Documentation update

## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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---------

Signed-off-by: Kelly Guo <[email protected]>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
matplotlib-inline has BSD-3 license, so it's ok for us to include it. We
already have the license file specified for it.

- Documentation update

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
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`./isaaclab.sh --format`
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feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
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…ll as a deformable objects. Passing the new objects to the Booster_K1_env
… need to instantiate all objects before scene.clone_environments call.

Overrided reset call for the environment. Ball and Goals positions are correctly reset.

Field not spawning. Need fix.

All objects spawing with the correct colors and shapes.
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greptile-apps bot commented Nov 23, 2025

Skipped: This PR changes more files than the configured file change limit: (1180 files found, 100 file limit)

@github-actions github-actions bot added asset New asset feature or request isaac-sim Related to Isaac Sim team isaac-mimic Related to Isaac Mimic team infrastructure labels Nov 23, 2025
@pectumesor pectumesor closed this Nov 26, 2025
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