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README.md 2025-04-23 8.7 kB
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👀 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

🔆 Highlighted Features

gr-1_pick_place

TextureRandomization.webm

✨ New Features

🔧 Improvements

🐛 Bug Fixes

🤗 New Contributors

Source: README.md, updated 2025-04-23