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Fast-Track Robot Learning in Simulation Using NVIDIA Isaac Lab

Robots need to be adaptable, readily learning new skills and adjusting to their surroundings. Yet traditional training methods can limit a robot’s ability to…

Robots need to be adaptable, readily learning new skills and adjusting to their surroundings. Yet traditional training methods can limit a robot’s ability to apply learned skills in new situations. This is often due to the gap between perception and action, as well as the challenges in transferring skills across different contexts. NVIDIA Isaac Lab is an open-source modular framework for…

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