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Presents the Robot Competition, where students design robots to collect waste in an arena, offering hands-on interdisciplinary learning and a friendly competition.
Explores Bayesian disturbance injection for robust imitation in robot learning, demonstrating its effectiveness in reducing error compounding and achieving high task achievement.
Delves into the design, fabrication, and functionality of soft bio-integrated and bio-mimetic electronics for mobile health and human-centered robotics.
