Publication | Closed Access
Online generation of humanoid walking motion based on a fast generation method of motion pattern that follows desired ZMP
260
Citations
7
References
2003
Year
Unknown Venue
EngineeringOnline GenerationWearable TechnologyMotor ControlMotion PatternKinesiologyLegged RobotKinematicsHuman MotionRehabilitation EngineeringRobot LearningHumanoid RobotBody TrajectoriesHealth SciencesDanceMotion TrajectoriesMotion SynthesisMechatronicsFast Generation MethodBipedal LocomotionMotion ControlEfficient Online MethodHuman MovementRobotics
This paper presents an efficient online method to generate humanoid walking motions that satisfy desired upper body trajectories while simultaneously carrying objects. A fast motion pattern generation technique that follows the desired ZMP is adopted. In order to satisfy the control input given online, subsequent motion patterns are updated and connected in a stable manner to the old ones while executing. During the creation of motion trajectories online, the commanded motion parameters are checked and modified automatically considering the performance limitations of the hardware. As an example application, we have implemented a one step cycle control system on the Humanoid H7. Experiments controlling the upper body motion and walking direction using a joystick interface are explained to demonstrate the validity of the proposed method.
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