
Ep#16 TWIST: Teleoperated Whole-Body Imitation System
RoboPapers
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Advancements in Teleoperated Robotics
This chapter discusses the challenges and advancements in training teleoperated humanoid robots, focusing on motion tracking and the impact of dataset limitations. The conversation highlights improvements in latency and response times, the significance of motion capture data, and the design implications for better robotic control. It also touches upon various perspectives in teleoperation and the importance of user experience within the field.
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