Learning Bipedal Motor Skills: Challenges and Assistance
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Description
This lecture discusses the challenges in humanoid reinforcement learning, such as learning whole-body motor skills and the difficulties in convergence due to biased samples. It also explores the application of assistive forces in humanoid robots to enhance their locomotion capabilities.
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Delves into human-robot interactions through interpersonal manual tasks, revealing insights on performance differences and adaptation in human behavior.
Investigates sensorimotor control in locomotion using robots and mathematical models, exploring bimodal locomotion, insect walking, and undulatory swimming.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
