NVIDIA Isaac Lab 2.3 Enhances Robot Learning with New Control and Teleoperation Features
NVIDIA has unveiled Isaac Lab 2.3, a significant update aimed at revolutionizing robot learning through advanced whole-body control, enhanced teleoperation, and innovative data generation techniques. The release, currently in early developer preview, emphasizes a sim-first approach to reduce real-world risks and costs while improving adaptability and safety.
Key features include expanded teleoperation support for devices like Meta Quest VR and Manus gloves, accelerating the creation of demonstration datasets. This advancement is critical for developing sophisticated robot policies through robust data collection. The update also introduces reinforcement and imitation learning innovations, further streamlining robot policy training and deployment.
