Building a Robot Teleoperation System for Data Collection

Robot learning faces a data bottleneck, as real-world trajectories are expensive to collect. A robust teleoperation system using VR controllers, such as Meta Quest or HTC Vive, accelerates dataset bootstrapping for imitation learning by providing precise 6-DOF tracking and intuitive spatial mapping. To support this, a sensor data recording and replay system is essential. This infrastructure allows developers to record robot actions and sensor streams for debugging, offline evaluation, and regenerating labels without requiring the physical robot.