Release Notes
The release notes are now available in the Isaac Lab GitHub repository. We summarize the release notes here for convenience.
v2.2.0
Updates and Changes
- Python version has been updated to 3.11 from 3.10.
- PyTorch version is updated to torch 2.7.0+cu128, which will include Blackwell support.
- Rendering issues have been resolved on Blackwell GPUs that previously resulted in overly noisy renders.
- Official support for Ubuntu 20.04 has been dropped. We now officially support Ubuntu 22.04 and 24.04 Linux platforms.
- Updated gymnasium to be at least v1.0.0 to allow for specifying module name with task name in the form of module:task.
- New Spatial Tendon APIs are introduced to allow simulation and actuation of assets with spatial tendons.
isaaclab.sim.spawners.PhysicsMaterialCfg.improve_patch_frictionis now removed. The simulation will always behave as if this attribute is set to true.- Native Livestreaming support has been removed.
LIVESTREAM=1can now be used for WebRTC streaming over public networks andLIVESTREAM=2for private and local networks with WebRTC streaming. - Isaac Sim 5.0 no longer sets
/app/player/useFixedTimeStepping=Falseby default. We now do this in Isaac Lab. - We are leveraging the latest Fabric implementations to allow for faster scene creation and interop between the simulator and rendering. This should help improve rendering performance as well as startup time.
- Some assets in Isaac Sim have been reworked and restructured. Notably, the following asset paths were updated:
Robots/Ant/ant_instanceable.usd—>Robots/IsaacSim/Ant/ant_instanceable.usdRobots/Humanoid/humanoid_instanceable.usd—>Robots/IsaacSim/Humanoid/humanoid_instanceable.usdRobots/ANYbotics/anymal_instanceable.usd—>Robots/ANYbotics/anymal_c/anymal_c.usdRobots/ANYbotics/anymal_c.usd—>Robots/ANYbotics/anymal_c/anymal_c.usdRobots/Franka/franka.usd—>Robots/FrankaRobotics/FrankaPanda/franka.usdRobots/AllegroHand/allegro_hand_instanceable.usd—>Robots/WonikRobotics/AllegroHand/allegro_hand_instanceable.usdRobots/Crazyflie/cf2x.usd—>Robots/Bitcraze/Crazyflie/cf2x.usdRobots/RethinkRobotics/sawyer_instanceable.usd—>Robots/RethinkRobotics/Sawyer/sawyer_instanceable.usdRobots/ShadowHand/shadow_hand_instanceable.usd—>Robots/ShadowRobot/ShadowHand/shadow_hand_instanceable.usd
Current Known Issues
- Some environments, such as
Isaac-Repose-Cube-Allegro-v0is taking a significant long time to create the scene. We are looking into this and will try to reduce down the scene creation time to be less than previous releases.
v2.1.1
Overview
This release has been in development over the past few months and includes a significant number of updates, enhancements, and new features across the entire codebase. Given the volume of changes, we’ve grouped them into relevant categories to improve readability. This version is compatible with NVIDIA Isaac Sim 4.5.
We appreciate the community’s patience and contributions in ensuring quality and stability throughout. We’re aiming for more frequent patch releases moving forward to improve the developer experience.
Note: This minor release does not include a Docker image or pip package.
Full Changelog: https://github.com/isaac-sim/IsaacLab/compare/v2.1.0…v2.1.1
New Features
- Asset Interfaces
- Adds
positionargument to set external forces and torques at different locations on the rigid body by @AntoineRichard - Adds
body_incoming_joint_wrench_bto ArticulationData field by @jtigue-bdai - Allows selecting articulation root prim explicitly by @lgulich
- Adds
- Sensor Interfaces
- Draws connection lines for FrameTransformer visualization by @Mayankm96
- Uses visualization marker for connecting lines inside FrameTransformer by @bikcrum
- MDP Terms
- Adds
body_pose_wandbody_projected_gravity_bobservations by @jtigue-bdai - Adds joint effort observation by @jtigue-bdai
- Adds CoM randomization term to manager-based events by @shendredm
- Adds time-based mdp (observation) functions by @TheIndoorDad
- Adds curriculum mdp term to modify any environment parameters by @ooctipus
- Adds
- New Example Tasks
- Adds assembly tasks from the Automate project by @yijieg
- Adds digit locomotion examples by @lgulich
Improvements
Core API
- Actuator Interfaces
- Fixes implicit actuator limits configs for assets by @ooctipus
- Updates actuator configs for Franka arm by @reeceomahoney
- Asset Interfaces
- Optimizes getters of data inside asset classes by @Mayankm96
- Adds method to set the visibility of the Asset’s prims by @Mayankm96
- Sensor Interfaces
- Updates to ray caster ray alignment and customizable drift sampling by @jsmith-bdai
- Extends
ContactSensorDatabyforce_matrix_w_historyattribute by @bikcrum - Adds IMU
projected_gravity_band optimizations by @jtigue-bdai
- Manager Interfaces
- Adds serialization to observation and action managers by @jsmith-bdai
- Adds concatenation dimension to
ObservationManagerby @pascal-roth - Supports composite observation space with min/max by @ooctipus
- Changes counter update in
CommandManagerby @pascal-roth - Integrates
NoiseModelto manager-based workflows by @ozhanozen - Updates
NoiseModelWithAdditiveBiasto apply per-feature bias by @ozhanozen - Fixes
isaaclab.scene.reset_toto acceptNoneby @ooctipus - Resets step reward buffer properly by @bikcrum
- Terrain Generation
- Custom
TerrainGeneratorsupport by @pascal-roth - Adds terrain border options by @pascal-roth
- Platform height independent of object height by @jtigue-bdai
- Adds noise to
MeshRepeatedObjectsTerrainby @jtigue-bdai
- Custom
- Simulation
- Raises exceptions from SimContext init callbacks
- Applies
semantic_tagsto ground by @KumoLiu - Sets
enable_stabilizationto false by default by @AntoineRichard - Fixes deprecation for
pxr.Semanticsby @kellyguo11
- Math Utilities
- Improves
euler_xyz_from_quatby @ShaoshuSu - Optimizes
yaw_quatby @hapatel-bdai - Changes
quat_applyandquat_apply_inverseby @jtigue-bdai - Changes
quat_box_minusby @jtigue-bdai - Adds
quat_box_plusandrigid_body_twist_transformby @jtigue-bdai - Adds math tests for transforms by @jtigue-bdai
- Improves
- General Utilities
- Simplifies buffer validation for
CircularBufferby @Mayankm96 - Modifies
update_class_from_dict()by @ozhanozen - Allows slicing from list values in dicts by @LinghengMeng @kellyguo11
- Simplifies buffer validation for
Tasks API
- Adds support for
module:taskand gymnasium >=1.0 by @kellyguo11 - Adds RL library error hints by @Toni-SM
- Enables hydra for
play.pyscripts by @ooctipus - Fixes ray metric reporting and hangs by @ozhanozen
- Adds gradient clipping for distillation (RSL-RL) by @alessandroassirelli98
- GRU-based RNNs ONNX export in RSL RL by @WT-MM
- Adds wandb support in rl_games by @ooctipus
- Optimizes SB3 wrapper by @araffin
- Enables SB3 checkpoint loading by @ooctipus
- Pre-processes SB3 env image obs-space for CNN pipeline by @ooctipus
Infrastructure
- Dependencies
- Updates torch to 2.7.0 with CUDA 12.8 by @kellyguo11
- Updates gymnasium to 1.2.0 by @kellyguo11
- Fixes numpy version to <2 by @ooctipus
- Adds license file for OSS by @kellyguo11
- Sets robomimic to v0.4.0 by @masoudmoghani
- Upgrades pillow for Kit 107.3.1 by @ooctipus
- Removes protobuf upper pin by @kwlzn
- Docker
- Uses
--gpusinstead of Nvidia runtime by @yanziz-nvidia - Adds docker name suffix parameter by @zoemcc
- Adds bash history support in docker by @AntoineRichard
- Uses
- Testing & Benchmarking
- Switches unittest to pytest by @kellyguo11 @pascal-roth
- Adds training benchmark unit tests by @matthewtrepte
- Fixes env and IK test failures by @kellyguo11
- Repository Utilities
- Adds URDF to USD batch conversion script by @hapatel-bdai
- Adds repository citation link by @kellyguo11
- Adds pip install warning for internal templates by @ooctipus
Bug Fixes
Core API
- Actuator Interfaces
- Fixes DCMotor clipping for negative power by @jtigue-bdai
- Asset Interfaces
- Fixes inconsistent data reads for body/link/com by @ooctipus
- Sensor Interfaces
- Fixes pose update in
CameraandTiledCameraby @pascal-roth - Fixes CPU fallback in camera.py by @renaudponcelet
- Fixes camera intrinsics logic by @jtigue-bdai
- Fixes pose update in
- Manager Interfaces
- Fixes
ObservationManagerbuffer overwrite by @patrickhaoy - Fixes term check in event manager by @miguelalonsojr
- Fixes
Modifiersand history buffer bug by @ZiwenZhuang - Fixes re-init check in
ManagerBaseby @Mayankm96 - Fixes CPU collision filtering by @kellyguo11
- Fixes imports in InteractiveScene/LiveVisualizer by @Mayankm96
- Fixes image plot import in Live Visualizer by @pascal-roth
- Fixes
- MDP Terms
- Fixes CoM randomization shape mismatch by @shendredm
- Fixes visual prim handling in texture randomization by @KumoLiu
- Resets joint targets in
reset_scene_to_defaultby @wghou - Fixes joint limit terminations by @GiulioRomualdi
- Fixes joint reset scope in
SceneEntityCfgby @ooctipus
- Math Utilities
- Fixes
quat_inv()implementation by @ozhanozen
- Fixes
Tasks API
- Fixes LSTM to ONNX export by @jtigue-bdai
Example Tasks
- Removes contact termination redundancy by @louislelay
- Fixes memory leak in SDF by @leondavi
- Changes
randomizationtoeventsin Digit envs by @fan-ziqi
Documentation
- Adds Isaac Sim version section to README by @kellyguo11
- Adds physics performance guide by @kellyguo11
- Adds jetbot tutorial to walkthrough docs by @mpgussert
- Changes quickstart install to conda by @mpgussert
- Fixes typo in library docs by @norbertcygiert
- Updates docs for conda, fabric, inference by @kellyguo11
- Adds license/contributing updates with DCO by @kellyguo11
- Updates pytest docs and help by @louislelay
- Adds actuator reference docs by @AntoineRichard
- Updates multi-GPU PyTorch setup docs by @Alex-Omar-Nvidia
- Removes deprecated env var in docs by @Kyu3224
v2.1.0
Overview
This release introduces the official support for teleoperation using the Apple Vision Pro for collecting high-quality and dexterous hand data, including the addition of bi-manual teleoperation and imitation learning workflows through Isaac Lab Mimic.
We have also introduced new randomization methods for USD attributes, including the randomization of scale, color, and textures. In this release, we updated RSL RL to v2.3.1, which introduces many additional features including distributed training, student-teacher distillation, and recurrent student-teacher distillation.
Additionally, we revamped the Extension Template to include an automatic template generator tool from within the Isaac Lab repo. The extension template is a powerful method for users to develop new projects in user-hosted repos, allowing for isolation from the core Isaac Lab repo and changes. The previous IsaacLabExtensionTemplate repo showed a limited example pertaining only to the Manager-based workflow and RSL RL. In the new template generator, users can choose from any supported workflow and RL library, along with the desired RL algorithm. We will be deprecating the standalone IsaacLabExtensionTemplate in the near future.
NVIDIA has also released HOVER as an independent repo, hosting a neural whole body controller for humanoids built on top of Isaac Lab. HOVER includes sim-to-real workflows for deployment on the Unitree H1 robot, which we have also added a tutorial guide for the deployment process in the Isaac Lab documentation.
Full Changelog: https://github.com/isaac-sim/IsaacLab/compare/v2.0.2…v2.1.0
New Features
- Adds new external project / internal task template generator by @Toni-SM
- Adds dummy agents to the external task template generator by @louislelay
- Adds USD-level randomization mode to event manager by @Mayankm96
- Adds texture and scale randomization event terms by @hapatel-bdai
- Adds replicator event for randomizing colors by @Mayankm96
- Adds interactive demo script for H1 locomotion by @kellyguo11
- Adds blueprint environment for Franka stacking mimic by @chengronglai
- Adds action clipping to rsl-rl wrapper by @Mayankm96
- Adds Gymnasium spaces showcase tasks by @Toni-SM
- Add configs and adapt exporter for RSL-RL distillation by @ClemensSchwarke
- Adds support for head pose for Open XR device by @rwiltz
- Adds handtracking joints and retargetting pipeline by @rwiltz
- Adds documentation for openxr device and retargeters by @rwiltz
- Adds tutorial for training & validating HOVER policy using Isaac Lab by @pulkitg01
- Adds rendering mode presets by @matthewtrepte
- Adds GR1 scene with Pink IK + Groot Mimic data generation and training by @ashwinvkNV
- Adds absolute pose franka cube stacking environment for mimic by @rwiltz
- Enables CloudXR OpenXR runtime container by @jaczhangnv
- Adds a quick start guide for quick installation and introduction by @mpgussert
Improvements
- Clarifies the default parameters in ArticulationData by @Mayankm96
- Removes storage of meshes inside the TerrainImporter class by @Mayankm96
- Adds more details about state in InteractiveScene by @Mayankm96
- Mounts scripts to docker container by @Mayankm96
- Initializes manager term classes only when sim starts by @Mayankm96
- Updates to latest RSL-RL v2.3.0 release by @Mayankm96
- Skips dependency installation for directories with no extension.toml by @jsmith-bdai
- Clarifies layer instructions in animation docs by @tylerlum
- Lowers the default number of environments for camera envs by @kellyguo11
- Updates Rendering Mode guide in documentation by @matthewtrepte
- Adds task instruction UI support for mimic by @chengronglai
- Adds ExplicitAction class to track argument usage in AppLauncher by @nv-mhaselton
- Allows physics reset during simulation by @oahmednv
- Updates mimic to support multi-eef (DexMimicGen) data generation by @nvcyc
Bug Fixes
- Fixes default effort limit behavior for implicit actuators by @jtigue-bdai
- Fixes docstrings inconsistencies the code by @Bardreamaster
- Fixes missing stage recorder extension for animation recorder by @kellyguo11
- Fixes ground height in factory environment by @louislelay
- Removes double definition of render settings by @pascal-roth
- Fixes device settings in env tutorials by @Mayankm96
- Changes default ground color back to dark grey by @Mayankm96
- Initializes extras dict before loading managers by @kousheekc
- Fixes typos in development.rst by @vi3itor
- Fixes SE gamepad omniverse subscription API by @PinkPanther-ny
- Fixes modify_action_space in RslRlVecEnvWrapper by @felipemohr
- Fixes distributed setup in benchmarking scripts by @kellyguo11
- Fixes typo
RF_FOOTtoRH_FOOTin tutorials by @likecanyon - Checks if success term exists before recording in RecorderManager by @peterd-NV
- Unsubscribes from debug vis handle when timeline is stopped by @jsmith-bdai
- Fixes wait time in
play.pyby usingenv.step_dtby @tylerlum - Fixes 50 series installation instruction to include torchvision by @kellyguo11
- Fixes importing MotionViewer from external scripts by @T-K-233
- Resets cuda device after each app.update call by @kellyguo11
- Fixes resume flag in rsl-rl cli args by @Mayankm96
v2.0.2
Overview
This patch release focuses on improving actuator configuration and fixing key bugs while reverting unintended behavioral changes from v2.0.1. We strongly recommend switching to this new version if you’re migrating from a pre-2.0 release of Isaac Lab.
Key Changes:
- Actuator Limit Handling: Introduced
isaaclab.actuators.ActuatorBaseCfg.velocity_limit_simandisaaclab.actuators.ActuatorBaseCfg.effort_limit_simto clearly distinguish simulation solver limits from actuator model constraints. Reverted implicit actuator velocity limits to pre-v2.0 behavior - Simulation configuration update: Removed
isaaclab.sim.SimulationCfg.disable_contact_processingflag to simplify behavior - Rendering configuration update: Reverted to pre-2.0 configuration to improve the quality of the render product
- Tiled camera fixes: Fixed motion vector processing and added a hotfix for retrieving semantic
images from the
~isaaclab.sensors.TiledCamera - WebRTC Support: Added IP specification for live-streaming
Full Changelog: https://github.com/isaac-sim/IsaacLab/compare/v2.0.1…v2.0.2
New Features
- Adds
isaaclab.actuators.ActuatorBaseCfg.velocity_limit_simandisaaclab.actuators.ActuatorBaseCfg.effort_limit_simto actuator. - Adds WebRTC livestreaming support with IP specification.
Improvements
- Adds guidelines and examples for code contribution
- Separates joint state setters inside Articulation class
- Implements deterministic evaluation for skrl’s multi-agent algorithms
- Adds new extensions to
pyproject.toml - Updates docs on Isaac Sim binary installation path and VSCode integration
- Removes remaining deprecation warning in RigidObject deprecation
- Adds security and show&tell notes to documentation
- Updates docs for segmentation and 50 series GPUs
- Adds workaround for semantic segmentation issue with tiled camera
Bug Fixes
- Fixes offset from object obs for Franka stacking env when using parallel envs
- Adds scene update to ManagerBasedEnv, DirectRLEnv, and MARL envs initialization
- Loads actuator networks in eval() mode to prevent gradients
- Fixes instructions on importing ANYmal URDF in docs
- Fixes setting of root velocities in the event term
~isaaclab.mdp.reset_root_state_from_terrain - Fixes
activate_contact_sensorswhen using~isaaclab.sim.MultiUsdFileCfg - Fixes misalignment in motion vectors from
~isaaclab.sim.TiledCamera - Sets default tensor device to CPU for Camera rot buffer
Breaking Changes
- Reverts the setting of joint velocity limits for implicit actuators
- Removes
disable_contact_processingflag from SimulationContext - Reverts to old render settings in kit experience files
Migration Guide
We strongly recommend reviewing the details to fully understand the change in behavior, as it may impact the deployment of learned policies. Please open an issue on GitHub if you face any problems.
Introduction of simulation’s effort and velocity limits parameters in ActuatorBaseCfg
We have introduced the configuration variables isaaclab.actuators.ActuatorBaseCfg.velocity_limit_sim
and isaaclab.actuators.ActuatorBaseCfg.effort_limit_sim to the
isaaclab.actuators.ActuatorBaseCfg to allow users to set the simulation joint velocity
and effort limits through the actuator configuration class.
Previously, we were overusing the attributes isaaclab.actuators.ActuatorBaseCfg.velocity_limit
and isaaclab.actuators.ActuatorBaseCfg.effort_limit inside the actuator configuration. A series
of changes in-between led to a regression from v1.4.0 to v2.0.1 release of IsaacLab. To make this
clearer to understand, we note the change in their behavior in a tabular form:
Setting the limits from the configuration into the simulation directly affects the behavior of the underlying physics engine solver. This impact is particularly noticeable when velocity limits are too restrictive, especially in joints with high stiffness, where it becomes easier to reach these limits. As a result, the change in behavior caused previously trained policies to not function correctly in IsaacLab v2.0.1.
Consequently, we have reverted back to the prior behavior and added velocity_limit_sim and
effort_limit_sim attributes to make it clear that setting those parameters means
changing solver’s configuration. The new behavior is as follows:
Users are advised to use the xxx_sim flag if they want to directly modify the solver limits.
Removal of disable_contact_processing flag in SimulationCfg
Removal of disable_contact_processing flag in SimulationCfg
We have now removed the disable_contact_processing flag from the isaaclab.sim.SimulationCfg
to not have the user worry about these intricacies of the simulator. The flag is always True by
default unless a contact sensor is created (which will internally set this flag to False).
Previously, the flag disable_contact_processing led to confusion about its
behavior. As the name suggests, the flag controls the contact reporting from the
underlying physics engine, PhysX. Disabling this flag (note the double negation)
means that PhysX collects the contact information from its solver and allows
reporting them to the user. Enabling this flag means this operation is not performed and
the overhead of it is avoided.
Many of our examples (for instance, the locomotion environments) were setting this flag to True which meant the contacts should not get reported. However, this issue was not noticed earlier since GPU simulation bypasses this flag, and only CPU simulation gets affected. Running the same examples on CPU device led to different behaviors because of this reason.
Existing users, who currently set this flag themselves, should receive a deprecated warning mentioning the removal of this flag and the switch to the new default behavior.
Switch to older rendering settings to improve render quality
With the IsaacLab 2.0.0 release, we switched to new render settings aimed at improving tiled-rendering performance, but at the cost of reduced rendering quality. This change particularly affected dome lighting in the scene, which is the default in many of our examples.
As reported by several users, this change negatively impacted render quality, even in cases where it wasn’t necessary (such as when recording videos of the simulation). In response to this feedback, we have reverted to the previous render settings by default to restore the quality users expected.
For users looking to trade render quality for speed, we will provide guidelines in the future.
v2.0.1
Overview
This release contains a small set of fixes and improvements.
The main change was to maintain combability with the updated library name for RSL RL, which breaks the previous installation methods for Isaac Lab. This release provides the necessary fixes and updates in Isaac Lab to accommodate for the name change and maintain compatibility with installation for RSL RL.
Full Changelog: https://github.com/isaac-sim/IsaacLab/compare/v2.0.0…v2.0.1
Improvements
- Switches to RSL-RL install from PyPI by @Mayankm96
- Updates the script path in the document by @fan-ziqi
- Disables extension auto-reload when saving files by @kellyguo11
- Updates documentation for v2.0.1 installation by @kellyguo11
Bug Fixes
- Fixes timestamp of com and link buffers when writing articulation pose to sim by @Jackkert
- Fixes incorrect local documentation preview path in xdg-open command by @louislelay
- Fixes no matching distribution found for rsl-rl (unavailable) by @samibouziri
- Fixes reset of sensor drift inside the RayCaster sensor by @zoctipus
v2.0.0
Overview
Isaac Lab 2.0 brings some exciting new features, including a new addition to the Imitation Learning workflow with the Isaac Lab Mimic extension.
Isaac Lab Mimic provides the ability to automatically generate additional trajectories based on just a few human collected demonstrations, allowing for larger training datasets with less human effort. This work is based on the MimicGen work for Scalable Robot Learning using Human Demonstrations.
Additionally, we introduced a new set of AMP tasks based on Adversarial Motion Priors, training humanoid robots to walk, run, and dance.
Along with Isaac Lab 2.0, Isaac Sim 4.5 brings several new and breaking changes, including a full refactor of the Isaac Sim extensions, an improved URDF importer, an update to the PyTorch dependency to version 2.5.1, and many fixes for tiled rendering that now supports multiple tiled cameras at different resolutions.
To follow the refactoring in Isaac Sim, we made similar refactoring and restructuring changes to Isaac Lab. These breaking changes will no longer be compatible with previous Isaac Sim versions.
Please make sure to update to Isaac Sim 4.5 when using the Isaac Lab 2.0 release.
Full Changelog: https://github.com/isaac-sim/IsaacLab/compare/v1.4.1…v2.0.0
Highlights from the Isaac Sim 4.5 release
- Support for multiple
TiledCamerainstances and varying resolutions - Improved rendering performance by up to 1.2x
- Faster startup time through optimizations in the Cloner class that improves startup time by 30%
- Enhanced OmniPVD for debugging physics simulation, enabling capturing reinforcement learning simulation
- Physics simulation performance optimizations improving throughput of up to 70%
- Physics support for dedicated cylinder and cone geometry designed for robot wheels that is fully GPU accelerated
- A new physics GPU filtering mechanism allowing co-location of reinforcement learning environments at the origin with minimal performance loss for scenes with limited collider counts
- Improvements in simulation stability for mimic joints at high joint gains
New Features
- Adds humanoid AMP tasks for direct workflow by @Toni-SM
- Adds Isaac Lab Mimic based on MimicGen data generation for Imitation Learning by @peterd-NV @nvcyc @ashwinvkNV @karsten-nvidia
- Adds consolidated demo script for showcasing recording and mimic dataset generation in real-time in one simulation script by @nvcyc
- Adds Franka stacking environment for GR00T mimic by @peterd-NV @nvcyc
- Adds option to filter collisions and real-time playback by @kellyguo11
Improvements
- Adds a tutorial for policy inference in a prebuilt USD scene by @oahmednv
- Adds unit tests for multi-tiled cameras by @matthewtrepte
- Updates render setting defaults for better quality by @kellyguo11
- Adds a flag to wait for texture loading completion when reset by @oahmednv
- Adds pre-trained checkpoints and tools for generating and uploading checkpoints by @nv-cupright
- Adds new denoiser optimization flags for rendering by @kellyguo11
- Updates torch to 2.5.1 by @kellyguo11
Bug Fixes
- Fixes external force buffers to set to zero when no forces/torques are applied by @matthewtrepte
- Fixes RSL-RL package name in
setup.pyaccording to PyPI installation by @samibouziri
Breaking Changes
- Updates the URDF and MJCF importers for Isaac Sim 4.5 by @Dhoeller19
- Renames Isaac Lab extensions and folders by @kellyguo11
- Restructures extension folders and removes old imitation learning scripts by @kellyguo11
- Renames default conda and venv Python environment from
isaaclabtoenv_isaaclabby @Toni-SM
We have identified a breaking feature for semantic segmentation and instance segmentation when using
Camera and TiledCamera with instanceable assets. Since the Isaac Sim 4.5 / Isaac Lab 2.0 release, semantic and instance
segmentation outputs only render the first tile correctly and produces blank outputs for the remaining tiles.
We will be introducing a workaround for this fix to remove scene instancing if semantic segmentation or instance
segmentation is required for Camera and TiledCamera until we receive a proper fix from Omniverse as part of the next Isaac Sim release.
Migration Guide
Renaming of Isaac Sim Extensions
Previously, Isaac Sim extensions have been following the convention of omni.isaac.*,
such as omni.isaac.core. In Isaac Sim 4.5, Isaac Sim extensions have been renamed
to use the prefix isaacsim, replacing omni.isaac. In addition, many extensions
have been renamed and split into multiple extensions to prepare for a more modular
framework that can be customized by users through the use of app templates.
Notably, the following commonly used Isaac Sim extensions in Isaac Lab are renamed as follow:
omni.isaac.cloner—>isaacsim.core.cloneromni.isaac.core.prims—>isaacsim.core.primsomni.isaac.core.simulation_context—>isaacsim.core.api.simulation_contextomni.isaac.core.utils—>isaacsim.core.utilsomni.isaac.core.world—>isaacsim.core.api.worldomni.isaac.kit.SimulationApp—>isaacsim.SimulationAppomni.isaac.ui—>isaacsim.gui.components
Renaming of the URDF and MJCF Importers
Starting from Isaac Sim 4.5, the URDF and MJCF importers have been renamed to be more consistent with the other extensions in Isaac Sim. The importers are available on isaac-sim GitHub as open source projects.
Due to the extension name change, the Python module names have also been changed:
- URDF Importer:
isaacsim.asset.importer.urdf(previouslyomni.importer.urdf) - MJCF Importer:
isaacsim.asset.importer.mjcf(previouslyomni.importer.mjcf)
From the Isaac Sim UI, both URDF and MJCF importers can now be accessed directly from the File > Import menu when selecting a corresponding .urdf or .xml file in the file browser.
Changes in URDF Importer
Isaac Sim 4.5 brings some updates to the URDF Importer, with a fresh UI to allow for better configurations
when importing robots from URDF. As a result, the Isaac Lab URDF Converter has also been updated to
reflect these changes. The isaaclab.sim.converters.UrdfConverterCfg includes some new settings,
such as ~isaaclab.sim.converters.JointDriveCfg.PDGainsCfg
and ~isaaclab.sim.converters.JointDriveCfg.NaturalFrequencyGainsCfg classes for configuring
the gains of the drives.
One breaking change to note is that the isaaclab.sim.converters.UrdfConverterCfg.JointDriveCfg.gains
attribute must be of class type ~isaaclab.sim.converters.JointDriveCfg.PDGainsCfg or
~isaaclab.sim.converters.JointDriveCfg.NaturalFrequencyGainsCfg.
The stiffness of the ~isaaclab.sim.converters.JointDriveCfg.PDGainsCfg must be specified, as such:
The isaaclab.sim.converters.JointDriveCfg.NaturalFrequencyGainsCfg.natural_frequency attribute must
be specified for ~isaaclab.sim.converters.JointDriveCfg.NaturalFrequencyGainsCfg.
Renaming of Isaac Lab Extensions and Folders
Corresponding to Isaac Sim 4.5 changes, we have also made some updates to the Isaac Lab directories and extensions.
All extensions that were previously under source/extensions are now under the source/ directory directly.
The source/apps and source/standalone folders have been moved to the root directory and are now called
apps/ and scripts/.
Isaac Lab extensions have been renamed to:
omni.isaac.lab—>isaaclabomni.isaac.lab_assets—>isaaclab_assetsomni.isaac.lab_tasks—>isaaclab_tasks
In addition, we have split up the previous source/standalone/workflows directory into scripts/imitation_learning
and scripts/reinforcement_learning directories. The RSL RL, Stable-Baselines, RL_Games, SKRL, and Ray directories
are under scripts/reinforcement_learning, while Robomimic and the new Isaac Lab Mimic directories are under
scripts/imitation_learning.
To assist with the renaming of Isaac Lab extensions in your project, we have provided a
simple script that will traverse
through the source and docs directories in your local Isaac Lab project and replace any instance of the renamed
directories and imports. Please use the script at your own risk as it will overwrite source files directly.
Restructuring of Isaac Lab Extensions
With the introduction of isaaclab_mimic, designed for supporting data generation workflows for imitation learning,
we have also split out the previous wrappers folder under isaaclab_tasks to its own module, named isaaclab_rl.
This new extension will contain reinforcement learning specific wrappers for the various RL libraries supported by Isaac Lab.
The new isaaclab_mimic extension will also replace the previous imitation learning scripts under the robomimic folder.
We have removed the old scripts for data collection and dataset preparation in favor of the new mimic workflow. For users
who prefer to use the previous scripts, they will be available in previous release branches.
Additionally, we have also restructured the isaaclab_assets extension to be split into robots and sensors
subdirectories. This allows for clearer separation between the pre-defined configurations provided in the extension.
As an example, the following import:
should be replaced with:
v1.4.1
Overview
This release contains a set of improvements and bug fixes.
Most importantly, we reverted one of the changes from the previous release to ensure the training throughput performance remains the same.
Full Changelog: https://github.com/isaac-sim/IsaacLab/compare/v1.4.0…v1.4.1
This is the final release compatible with Isaac Sim 4.2. The next release will target Isaac Sim 4.5, which introduces breaking changes that will make Isaac Lab incompatible with earlier versions of Isaac Sim.
New Features
- Adds documentation and demo script for IMU sensor by @mpgussert
Improvements
- Removes deprecation for root_state_w properties and setters by @jtigue-bdai
- Fixes MARL workflows for recording videos during training/inferencing by @Rishi-V
- Adds body tracking option to ViewerCfg by @KyleM73
- Fixes the
joint_parameter_lookuptype inRemotizedPDActuatorCfgto support list format by @fan-ziqi - Updates pip installation documentation to clarify options by @steple
- Fixes docstrings in Articulation Data that report wrong return dimension by @zoctipus
- Fixes documentation error for PD Actuator by @kellyguo11
- Clarifies ray documentation and fixes minor issues by @garylvov
- Updates code snippets in documentation to reference scripts by @mpgussert
- Adds dict conversion test for ActuatorBase configs by @mschweig
Bug Fixes
- Fixes JointAction not preserving order when using all joints by @T-K-233
- Fixes event term for pushing root by setting velocity by @Mayankm96
- Fixes error in Articulation where
default_joint_stiffnessanddefault_joint_dampingare not correctly set for implicit actuator by @zoctipus - Fixes action reset of
pre_trained_policy_actionin navigation environment by @nicolaloi - Fixes rigid object’s root com velocities timestamp check by @ori-gadot
- Adds interval resampling on event manager’s reset call by @Mayankm96
- Corrects calculation of target height adjustment based on sensor data by @fan-ziqi
- Fixes infinite loop in
repeated_objects_terrainmethod by @nicolaloi - Fixes issue where the indices were not created correctly for articulation setters by @AntoineRichard
v1.4.0
Overview
Due to a great amount of amazing updates, we are putting out one more Isaac Lab release based off of Isaac Sim 4.2. This release contains many great new additions and bug fixes, including several new environments, distributed training and hyperparameter support with Ray, new live plot feature for Manager-based environments, and more.
We will now spend more focus on the next Isaac Lab release geared towards the new Isaac Sim 4.5 release coming soon. The upcoming release will contain breaking changes in both Isaac Lab and Isaac Sim and breaks backwards compatibility, but will come with many great fixes and improvements.
Full Changelog: https://github.com/isaac-sim/IsaacLab/compare/v1.3.0…v1.4.0
New Features
- Adds Factory contact-rich manipulation tasks to IsaacLab by @noseworm
- Adds a Franka stacking ManagerBasedRLEnv by @peterd-NV
- Adds recorder manager in manager-based environments by @nvcyc
- Adds Ray Workflow: Multiple Run Support, Distributed Hyperparameter Tuning, and Consistent Setup Across Local/Cloud by @glvov-bdai
- Adds
OperationSpaceControllerto docs and tests and implement corresponding action/action_cfg classes by @ozhanozen - Adds null-space control option within
OperationSpaceControllerby @ozhanozen - Adds observation term history support to Observation Manager by @jtigue-bdai
- Adds live plots to managers by @pascal-roth
Improvements
- Adds documentation and example scripts for sensors by @mpgussert
- Removes duplicated
TerminationsCfgcode in G1 and H1 RoughEnvCfg by @fan-ziqi - Adds option to change the clipping behavior for all Cameras and unifies the default by @pascal-roth
- Adds check that no articulation root API is applied on rigid bodies by @lgulich
- Adds RayCaster rough terrain base height to reward by @Andy-xiong6
- Adds position threshold check for state transitions by @DorsaRoh
- Adds clip range for JointAction by @fan-ziqi
Bug Fixes
- Fixes noise_model initialized in direct_marl_env by @NoneJou072
- Fixes entry_point and kwargs in isaaclab_tasks README by @fan-ziqi
- Fixes syntax for checking if pre-commit is installed in isaaclab.sh by @louislelay
- Corrects fisheye camera projection types in spawner configuration by @command-z-z
- Fixes actuator velocity limits propagation down the articulation root_physx_view by @jtigue-bdai
- Computes Jacobian in the root frame inside the
DifferentialInverseKinematicsActionclass by @zoctipus - Adds transform for mesh_prim of ray caster sensor by @clearsky-mio
- Fixes configclass dict conversion for torch tensors by @lgulich
- Fixes error in apply_actions method in
NonHolonomicActionaction term. by @KyleM73 - Fixes outdated sensor data after reset by @kellyguo11
- Fixes order of logging metrics and sampling commands in command manager by @Mayankm96
Breaking Changes
- Refactors pose and velocities to link frame and COM frame APIs by @jtigue-bdai
v1.3.0
Overview
This release will be a final release based on Isaac Sim 4.2 before the transition to Isaac Sim 4.5, which will likely contain breaking changes and no longer backwards compatible with Isaac Sim 4.2 and earlier. In this release, we introduce many features, improvements, and bug fixes, including IMU sensors, support for various types of gymnasium spaces, manager-based perception environments, and more.
Full Changelog: https://github.com/isaac-sim/IsaacLab/compare/v1.2.0…v1.3.0
New Features
- Adds
IMUsensor by @pascal-roth - Add Camera Benchmark Tool and Allow Correct Unprojection of distance_to_camera depth image by @glvov-bdai
- Creates Manager Based Cartpole Vision Example Environments by @glvov-bdai
- Adds image extracted features observation term and cartpole examples for it by @glvov-bdai
- Supports other gymnasium spaces in Direct workflow by @Toni-SM
- Adds configuration classes for spawning different assets at prim paths by @Mayankm96
- Adds a rigid body collection class by @Dhoeller19
- Adds option to scale/translate/rotate meshes in the
mesh_converterby @pascal-roth - Adds event term to randomize gains of explicit actuators by @MoreTore
- Adds Isaac Lab Reference Architecture documentation by @OOmotuyi
Improvements
- Expands functionality of FrameTransformer to allow multi-body transforms by @jsmith-bdai
- Inverts SE-2 keyboard device actions (Z, X) for yaw command by @riccardorancan
- Disables backward pass compilation of warp kernels by @Mayankm96
- Replaces TensorDict with native dictionary by @Toni-SM
- Improves omni.isaac.lab_tasks loading time by @Toni-SM
- Caches PhysX view’s joint paths when processing fixed articulation tendons by @Toni-SM
- Replaces hardcoded module paths with
__name__dunder by @Mayankm96 - Expands observation term scaling to support list of floats by @pascal-roth
- Removes extension startup messages from the Simulation App by @Mayankm96
- Adds a render config to the simulation and tiledCamera limitations to the docs by @kellyguo11
- Adds Kit command line argument support by @kellyguo11
- Modifies workflow scripts to generate random seed when seed=-1 by @kellyguo11
- Adds benchmark script to measure robot loading by @Mayankm96
- Switches from
carbtoomni.logfor logging by @Mayankm96 - Excludes cache files from vscode explorer by @Divelix
- Adds versioning to the docs by @sheikh-nv
- Adds better error message for invalid actuator parameters by @lgulich
- Updates tested docker and apptainer versions for cluster deployment by @pascal-roth
- Removes
ml_archiveas a dependency ofomni.isaac.labextension by @fan-ziqi - Adds a validity check for configclasses by @Dhoeller19
- Ensures mesh name is compatible with USD convention in mesh converter by @fan-ziqi
- Adds sanity check for the term type inside the command manager by @command-z-z
- Allows configclass
to_dictoperation to handle a list of configclasses by @jtigue-bdai
Bug Fixes
- Disables replicate physics for deformable teddy lift environment by @Mayankm96
- Fixes Jacobian joint indices for floating base articulations by @lorenwel
- Fixes setting the seed from CLI for RSL-RL by @kaixi287
- Fixes camera MDP term name and reprojection docstrings by @Mayankm96
- Fixes deprecation notice for using
pxr.Semanticsby @Mayankm96 - Fixes scaling of default ground plane by @kellyguo11
- Fixes Isaac Sim executable on pip installation by @Toni-SM
- Passes device from CLI args to simulation config in standalone scripts by @Mayankm96
- Fixes the event for randomizing rigid body material by @pascal-roth
- Fixes the ray_caster_camera tutorial script when saving the data by @mpgussert
- Fixes running the docker container when the DISPLAY env variable is not defined by @GiulioRomualdi
- Fixes default joint pos when setting joint limits by @kellyguo11
- Fixes device propagation for noise and adds noise tests by @jtigue-bdai
- Removes additional sbatch and fixes default profile in cluster deployment by @pascal-roth
- Fixes the checkpoint loading error in RSL-RL training script by @bearpaw
- Fixes pytorch broadcasting issue in
EMAJointPositionToLimitsActionby @bearpaw - Fixes body IDs selection when computing
feet_slidereward for locomotion-velocity task by @dtc103 - Fixes broken URLs in markdown files by @DorsaRoh
- Fixes
net_archinsb3_ppo_cfg.yamlfor Isaac-Lift-Cube-Franka-v0 task by @LinghengMeng
v1.2.0
Overview
We leverage the new release of Isaac Sim, 4.2.0, and bring RTX-based tiled rendering, support for multi-agent environments, and introduce many bug fixes and improvements.
Additionally, we have published an example for generating rewards using an LLM based on Eureka, available here: https://github.com/isaac-sim/IsaacLabEureka
Full Changelog: https://github.com/isaac-sim/IsaacLab/compare/v1.1.0…v1.2.0
New Features
- Adds RTX-based tiled rendering. This improves the overall rendering speed and quality.
- Adds the direct workflow perceptive Shadowhand Cube Repose environment
Isaac-Repose-Cube-Shadow-Vision-Direct-v0by @kellyguo11. - Adds support for multi-agent environments with the Direct workflow, with support for MAPPO and IPPO in SKRL by @Toni-SM
- Adds the direct workflow multi-agent environments
Isaac-Cart-Double-Pendulum-Direct-v0andIsaac-Shadow-Hand-Over-Direct-v0by @Toni-SM - Adds throughput benchmarking scripts for the different learning workflows by @kellyguo11
- Adds results for the benchmarks in the documentation here for different types of hardware by @kellyguo11
- Adds the direct workflow Allegro hand environment by @kellyguo11
- Adds video recording to the play scripts in RL workflows by @j3soon
- Adds comparison tables for the supported RL libraries here by @kellyguo11
- Add APIs for deformable asset by @masoudmoghani
- Adds support for MJCF converter by @qqqwan
- Adds a function to define camera configs through intrinsic matrix by @pascal-roth
- Adds configurable modifiers to observation manager by @jtigue-bdai
- Adds the Hydra configuration system for RL training by @Dhoeller19
Improvements
- Uses PhysX accelerations for rigid body acceleration data by @Mayankm96
- Adds documentation on the frames for asset data by @Mayankm96
- Renames Unitree configs in locomotion tasks to match properly by @Mayankm96
- Adds option to set the height of the border in the
TerrainGeneratorby @pascal-roth - Adds a cli arg to
run_all_tests.pyfor testing a selected extension by @jsmith-bdai - Decouples rigid object and articulation asset classes by @Mayankm96
- Adds performance optimizations for domain randomization by @kellyguo11
- Allows having hybrid dimensional terms inside an observation group by @Mayankm96
- Adds a flag to preserve joint order inside
JointActionCfgaction term by @xav-nal - Adds the ability to resume training from a checkpoint with rl_games by @sizsJEon
- Adds windows configuration to VS code tasks by @johnBuffer
- Adapts A and D button bindings in the keyboard device by @zoctipus
- Uses
torch.einsumfor quat_rotate and quat_rotate_inverse operations by @dxyy1 - Expands on articulation test for multiple instances and devices by @jsmith-bdai
- Adds setting of environment seed at initialization by @Mayankm96
- Disables default viewport when headless but cameras are enabled by @kellyguo11
- Simplifies the return type for
parse_env_cfgmethod by @Mayankm96 - Simplifies the if-elses inside the event manager apply method by @Mayankm96
Bug Fixes
- Fixes rendering frame delays. Rendered images now faithfully represent the latest state of the physics scene.
We added the flag
rerender_on_resetin the environment configs to toggle an additional render step when a reset happens. When activated, the images/observation always represent the latest state of the environment, but this also reduces performance. - Fixes
wrap_to_pifunction in math utilities by @Mayankm96 - Fixes setting of pose when spawning a mesh by @masoudmoghani
- Fixes caching of the terrain using the terrain generator by @Mayankm96
- Fixes running train scripts when rsl_rl is not installed by @Dhoeller19
- Adds flag to recompute inertia when randomizing the mass of a rigid body by @Mayankm96
- Fixes support for
classmethodwhen defining a configclass by @Mayankm96 - Fixes
Sb3VecEnvWrapperto clear buffer on reset by @EricJin2002 - Fixes venv and conda pip installation on windows by @kellyguo11
- Sets native livestream extensions to Isaac Sim 4.1-4.0 defaults by @jtigue-bdai
- Defaults the gym video recorder fps to match episode decimation by @ozhanozen
- Fixes the event manager’s apply method by @kellyguo11
- Updates camera docs with world units and introduces new test for intrinsics by @pascal-roth
- Adds the ability to resume training from a checkpoint with rl_games by @sizsJEon
Breaking Changes
- Simplifies device setting in SimulationCfg and AppLauncher by @Dhoeller19
- Fixes conflict in teleop-device command line argument in scripts by @Dhoeller19
- Converts container.sh into Python utilities by @hhansen-bdai
- Drops support for
TiledCamerafor Isaac Sim 4.1
Migration Guide
Setting the simulation device into the simulation context
Previously, changing the simulation device to CPU required users to set other simulation parameters (such as disabling GPU physics and GPU pipelines). This made setting up the device appear complex. We now simplify the checks for device directly inside the simulation context, so users only need to specify the device through the configuration object.
Before:
Now:
Setting the simulation device from CLI
Previously, users could specify the device through the command line argument --device_id. However,
this made it ambiguous when users wanted to set the device to CPU. Thus, instead of the device ID,
users need to specify the device explicitly through the argument --device.
The valid options for the device name are:
- “cpu”: runs simulation on CPU
- “cuda”: runs simulation on GPU with device ID at default index
- “cuda:N”: runs simulation on GPU with device ID at
N. For instance, “cuda:0” will use device at index “0”.
Due to the above change, the command line interaction with some of the scripts has changed.
Before:
Now:
Renaming of teleoperation device CLI in standalone scripts
Since --device is now an argument provided by the AppLauncher, it conflicted with the command-line
argument used for specifying the teleoperation-device in some of the standalone scripts. Thus, to fix
this conflict, the teleoperation-device now needs to be specified through --teleop_device argument.
Before:
Now:
Using Python-version of container utility script
The prior container.sh became quite
complex as it had many different use cases in one script. For instance, building a docker image for “base” or “ros2”,
as well as cluster deployment. As more users wanted to have the flexibility to overlay their own docker settings,
maintaining this bash script became cumbersome. Hence, we migrated its features into a Python script in this release.
Additionally, we split the cluster-related utilities into their own script inside the docker/cluster directory.
We still maintain backward compatibility for container.sh. Internally, it calls the Python script container.py.
We request users to use the Python script directly.
Before:
Now:
Using separate directories for logging videos in RL workflows
Previously, users could record videos during the RL training by specifying the --video flag to the
train.py script. The videos would be saved inside the videos directory in the corresponding log
directory of the run.
Since many users requested to also be able to record videos while inferencing the policy, recording
videos have also been added to the play.py script. Since changing the prefix of the video file
names is not possible, the videos from the train and play scripts are saved inside the videos/train
and videos/play directories, respectively.
Drops support for the tiled camera with Isaac Sim 4.1
Various fixes have been made to the tiled camera rendering pipeline in Isaac Sim 4.2. This made supporting the tiled camera with Isaac Sim 4.1 difficult. Hence, for the best experience, we advice switching to Isaac Sim 4.2 with this release of Isaac Lab.
v1.1.0
Overview
With the release of Isaac Sim 4.0 and 4.1, support for Isaac Sim 2023.1.1 has been discontinued. We strongly encourage all users to upgrade to Isaac Sim 4.1 to take advantage of the latest features and improvements. For detailed information on this upgrade, please refer to the release notes available here.
Besides the above, the Isaac Lab release brings new features and improvements, as detailed below. We thank all our contributors for their continued support.
Full Changelog: https://github.com/isaac-sim/IsaacLab/compare/v1.0.0…v1.1.0
New Features
- Adds distributed multi-GPU learning support for skrl by @Toni-SM
- Updates skrl integration to support training/evaluation using JAX by @Toni-SM
- Adds lidar pattern for raycaster sensor by @pascal-roth
- Adds support for PBS job scheduler-based clusters by @shafeef901
- Adds APIs for spawning deformable meshes by @Mayankm96
Improvements
- Changes documentation color to the green theme by @Mayankm96
- Fixes sphinx tabs to make them work in dark theme by @Mayankm96
- Fixes VSCode settings to work with pip installation of Isaac Sim by @Mayankm96
- Fixes
isaaclabscripts to deal with Isaac Sim pip installation by @Mayankm96 - Optimizes interactive scene for homogeneous cloning by @kellyguo11
- Improves docker X11 forwarding documentation by @j3soon
Bug Fixes
- Reads gravity direction from simulation inside
RigidObjectDataby @Mayankm96 - Fixes reference count in asset instances due to circular references by @Mayankm96
- Fixes issue with asset deinitialization due to torch > 2.1 by @Mayankm96
- Fixes the rendering logic regression in environments by @Dhoeller19
- Fixes the check for action-space inside Stable-Baselines3 wrapper by @Mayankm96
- Fixes warning message in Articulation config processing by @locoxsoco
- Fixes action term in the reach environment by @masoudmoghani
- Fixes training UR10 reach with RL_GAMES and SKRL by @sudhirpratapyadav
- Adds event manager call to simple manage-based env by @Mayankm96
Breaking Changes
- Drops official support for Isaac Sim 2023.1.1
- Removes the use of body view inside the asset classes by @Mayankm96
- Renames
SimulationCfg.substepstoSimulationCfg.render_intervalby @Dhoeller19
Migration Guide
Renaming of SimulationCfg.substeps
Renaming of SimulationCfg.substeps
Previously, the users set both omni.isaac.lab.sim.SimulationCfg.dt and
omni.isaac.lab.sim.SimulationCfg.substeps, which marked the physics insulation time-step and sub-steps,
respectively. It was unclear whether sub-steps meant the number of integration steps inside the physics time-step
dt or the number of physics steps inside a rendering step.
Since in the code base, the attribute was used as the latter, it has been renamed to render_interval for clarity.
Removal of Deprecated Attributes
As notified in previous releases, we removed the classes and attributes marked as deprecated. These are as follows:
-
The
mdp.add_body_massmethod in the events. Please use themdp.randomize_rigid_body_massinstead. -
The classes
managers.RandomizationManagerandmanagers.RandomizationTermCfg. Please use themanagers.EventManagerandmanagers.EventTermCfgclasses instead. -
The following properties in
omni.isaac.lab.sensors.FrameTransformerData:target_rot_source—>target_quat_wtarget_rot_w—>target_quat_sourcesource_rot_w—>source_quat_w
-
The attribute
body_physx_viewfrom theomni.isaac.lab.assets.Articulationandomni.isaac.lab.assets.RigidObjectclasses. These caused confusion when used with the articulation view since the body names did not follow the same ordering.
v1.0.0
Overview
Welcome to the first official release of Isaac Lab!
Building upon the foundation of the Orbit framework, we have integrated the RL environment designing workflow from OmniIsaacGymEnvs. This allows users to choose a suitable task-design approach for their applications.
While we maintain backward compatibility with Isaac Sim 2023.1.1, we highly recommend using Isaac Lab with Isaac Sim 4.0.0 version for the latest features and improvements.
Full Changelog: https://github.com/isaac-sim/IsaacLab/compare/v0.3.1…v1.0.0
New Features
- Integrated CI/CD pipeline, which is triggered on pull requests and publishes the results publicly
- Extended support for Windows OS platforms
- Added tiled rendered based Camera sensor implementation. This provides optimized RGB-D rendering throughputs of up to 10k frames per second.
- Added support for multi-GPU and multi-node training for the RL-Games library
- Integrated APIs for environment designing (direct workflow) without relying on managers
- Added implementation of delayed PD actuator model
- Added various new learning environments:
- Cartpole balancing using images
- Shadow hand cube reorientation
- Boston Dynamics Spot locomotion
- Unitree H1 and G1 locomotion
- ANYmal-C navigation
- Quadcopter target reaching
Improvements
- Reduced start-up time for scripts (inherited from Isaac Sim 4.0 improvements)
- Added lazy buffer implementation for rigid object and articulation data. Instead of updating all the quantities at every step call, the lazy buffers are updated only when the user queries them
- Added SKRL support to more environments
Breaking Changes
For users coming from Orbit, this release brings certain breaking changes. Please check the migration guide for more information.
Migration Guide
Please find detailed migration guides as follows: