Captured human data must be adapted for the humanoid because its kinematics and dynamics differ from those of the human actor. On the other hand, it is desirable that humanoid movements are highly similar to those of the human actor, since the human actor's motion is regarded as a teaching motion. This paper explores the design of a humanoid complicated dynamic motion based on human motion capture. First, the kinematic constraints, including ground contact conditions, are formulated. Next, the similarity evaluation and dynamic stability based on ZMP (zero moment point) of the humanoid motion are discussed, and the method to derive humanoid motion with a high similarity, and satisfying kinematic constraints and dynamic stability, is presented. Finally, the effectiveness of the proposed method is confirmed by simulations and experiments with the "sword" motion - a complicated and dynamic Chinese kungfu movement - using our developed humanoid robot with 32 degree of freedom.
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Huang et al. (2005) studied this question.
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