CORDIS Project
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This project develops an imitation learning framework for robots, enabling them to acquire versatile skills while addressing practical constraints like joint limits and obstacle avoidance. It aims to enhance robot performance in various applications by mimicking human motions and reactions through advanced learning tec…
In this project, I will develop an imitation learning framework for robot skill learning and optimization, aiming at endowing robots with versatile skills and thus allowing robots to work in broad application domains.
This framework will handle various constraints (e.g., robot joint limit, trajectory smoothness, obstacle avoidance) that robots encounter in practice, exploit environmental priors and multi-modal properties underlying human demonstrations, as well as design a low-level optimal cont…
UNIVERSITY OF LEEDS
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