This paper explores the method of designing humanoid motion considering rhythm based on human motion capture. 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 expected that humanoid movements are highly similar to those of the human actor. In this paper, first the motion of the human actor is segmented into primitive motions. Then, the kinematics constraints and stability adjustment method are formulated. Next, the similarity evaluation considering rhythm is discussed, and the method to derive humanoid motion with high similarity, and satisfying kinematic constraints and dynamic stability, is presented. Finally, the effectiveness of the proposed method is illustrated by the experiment of Chinese Kungfu "sword" motion using our developed humanoid robot BHR-2 with 32 DOF

The complexity of nonlinear differential equations of dynamics makes it practically impossible to obtain the walk pattern on-line through computing the whole dynamics. This paper proposed a method of online trajectory generation based on key parameters of off-line typical walk patterns for a biped humanoid. The key parameters include hip parameters, step length, walking cycle and so on. The walking pattern can be obtained according to these parameters. In order to generate walking patterns online, first the key parameters of the on-line walking pattern are computed based on the parameters of off-line typical patterns, then stability optimization has been done on-line and on-line trajectories are derived. The effectiveness of the proposed method is confirmed by simulations and experiments with our developed humanoid robot with 33 DOF.