DocumentCode :
2889721
Title :
Making feasible walking motion of humanoid robots from human motion capture data
Author :
Dasgupta, Anirvan ; Nakamura, Yoshihiko
Author_Institution :
Dept. of Mech.-Inf., Tokyo Univ., Japan
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
1044
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 :
learning systems; legged locomotion; motion control; robot dynamics; human motion capture data; humanoid robots; locomotion; mobile robots; motion control; walking motion; zero moment point; Artificial intelligence; Foot; Humanoid robots; Humans; Legged locomotion; Reduced order systems; Robot kinematics; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
Conference_Location :
Detroit, MI
ISSN :
1050-4729
Print_ISBN :
0-7803-5180-0
Type :
conf
DOI :
10.1109/ROBOT.1999.772454
Filename :
772454
Link To Document :
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