Title :
Torque pattern generation towards the maximum jump height
Author :
Higashimori, Mitsuru ; Harada, Manabu ; Ishii, Idaku ; Kaneko, Makoto
Author_Institution :
Dept. of Artificial Complex Syst. Eng., Hiroshima Univ.
Abstract :
This paper discusses jumping pattern generation for a serial link robot in order to maximize its jump height under torque limitation. By applying a genetic algorithm (GA) for determining torque assignment, we obtain various jumping patterns with respect to the torque limitation for a fixed mass of the robot. With the increase of the torque limitation, double-leg based jump, single-leg based jump, and spring-type jump are generated for achieving the largest jump height. Under an additional joint angle limitation, we also obtain an interesting solution where one end of the link is first lifted up and the other end finally kicks the ground strongly
Keywords :
genetic algorithms; legged locomotion; motion control; double-leg based jump; genetic algorithm; jumping pattern generation; legged robots; serial link robot; single-leg based jump; spring-type jump; torque limitation; torque pattern generation; Genetic algorithms; Gravity; Learning; Leg; Legged locomotion; Pneumatic actuators; Robots; Springs; Systems engineering and theory; Torque;
Conference_Titel :
Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-9505-0
DOI :
10.1109/ROBOT.2006.1641856