Simulation
RoboSuite
RoboSuite is a modular, MuJoCo-based simulation framework for robot manipulation research that composes benchmark environments from standardized robots, including Panda, Sawyer, and bimanual configurations, along with interchangeable grippers, controllers, and task arenas. It emphasizes reproducible benchmarking with realistic controller stacks such as operational space control, and it serves as the simulation substrate for RoboMimic and RoboCasa.
Why it matters for physical AI
Standardized simulated platforms with realistic controllers keep manipulation research comparable across labs, and RoboSuite's modularity made it a common foundation for demonstration datasets and benchmark suites.
Related terms
Build physical AI
Put these concepts to work on real hardware
Axol is a dual-arm robot built for physical AI — teleoperate it, collect demonstrations, and deploy learned policies out of the box.