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Using eigenposes for lossless periodic human motion imitation
2009
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems
Programming a humanoid robot to perform an action that takes the robot's complex dynamics into account is a challenging problem. Traditional approaches typically require highly accurate prior knowledge of the robot's dynamics and environment in order to devise complex control algorithms for generating a stable dynamic motion. Training using human motion capture is an intuitive and flexible approach to programming a robot but directly applying motion capture data to a robot usually results in
doi:10.1109/iros.2009.5354391
dblp:conf/iros/ChalodhornR09
fatcat:zhg3b7a23bca7auxi6gqdlfmdu