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Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Explores motor neuroprosthetics, covering peripheral nervous system, motor decoding, robotic hands, and sensory feedback through advanced techniques and implantable systems.
Presents a motor control experiment involving color-based finger tapping tasks and error tracking, revealing insights into skill practice and multitasking challenges.
