Key updates in Isaac Sim 4.0:
- Isaac Lab is an open-source lightweight reference application built on the Isaac Sim platform, and plays a pivotal role in robot foundation model training. It supports reinforcement learning, imitation learning, and transfer learning. It can train a wide range of robot embodiments, for developers to explore designs and functionalities.
- Ease of use with VSCode integration with a compatibility checker, multi-GPU support for reinforcement learning, performance improvements with RTX sensor tiled rendering, optimized cache, and shader management.
- Ease of use with PIP installation and a wizard for importing robots and more.
- Improved performance with up to 80% faster synthetic data generation (SDG)
- New SDG formats that support the COCO format and custom writer for pose estimation.
- ROS 2 launch support with an end-to-end workflow and better performance for image based publishers.
- More built-in robots support: including a host of humanoids including the 1X Neo, Unitree H1, Agility Digit, Fourier Intelligence GR1, Sanctuary A1 Phoenix, and XiaoPeng PX5. Thereโs also Universal Robots UR20 & UR30 and Boston Dynamics Spot.
For additional information, please refer to our technical blog > Create, Design, and Deploy Robotics Applications Using New NVIDIA Isaac Foundation Models and Workflows | NVIDIA Technical Blog
Documentation:
Isaac Sim
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Isaac Sim (via Omniverse; via NGC)