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Making feasible walking motion of humanoid robots from human motion capture data

Anirvan DasGupta, Yoshihiko Nakamura

Year
2003
Citations
230

Abstract

This work presents a study of the human/humanoid locomotion system and a method for adaptation of the human motion capture data (HMCD) for driving a humanoid robot. The analysis uses the previously defined concept of the zero moment point (ZMP) which provides a basis for the adaptation of the HMCD. An appropriate model of the robot foot, in agreement with the HMCD, is proposed. This model is used to plan a desired ZMP trajectory. A scheme for approximately matching the actual ZMP trajectory to the desired ZMP trajectory, through periodic joint motion correction at selected joints, is discussed. A method for resolving the ground reaction forces at the foot is also proposed.

Keywords

Zero moment pointHumanoid robotTrajectoryComputer scienceMotion (physics)Motion captureRobotMoment (physics)Control theory (sociology)Artificial intelligence

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