Yanjie Ze

Yanjie Ze, a first-year PhD student at Stanford, dives into the innovative TWIST system, enhancing humanoid robot capabilities through teleoperation. The discussion reveals how human data dramatically improves robot dexterity and addresses challenges in lower body tracking. Yanjie explains the significance of large-scale motion datasets for refining robot movements and explores the complexities of control frameworks. The conversation also highlights advancements in teleoperated robotics, focusing on latency improvements and the potential of full-body engagement for enhanced robotic performance.