Humanoid robot learning in simulation
I worked on the simulation side of a pipeline for training a Booster T1 humanoid robot on bimanual pick-and-place tasks: setting up the Isaac Lab environment and the robot with inverse kinematics, teleoperation with Apple Vision Pro to collect demonstrations, and synthetic data generation to turn a small set of demos into many more training episodes for a Vision-Language-Action model.
The team's goal was a data collection and training stack that can be reused across robots.
Tools
Isaac Lab, Isaac Sim, Apple Vision Pro, Python