Robot policy development
Developers and researchers can train and test robot control policies for various robot types entirely in simulation to reduce reliance on physical hardware.
Simulation-based training for AMRs and manipulators
Organizations developing autonomous mobile robots and manipulators can use Isaac Lab to accelerate training iterations and reduce hardware expenses.