Title :
Genetic algorithm for control design of biped locomotion
Author :
Cheng, M.-Y. ; Lin, C.-S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
Abstract :
Dynamic biped walking is a difficult control problem. The problem involves the design of the controller as well as the gait. In this paper, the design of the controller and the gait is formulated as a parameter search problem and a genetic algorithm is applied to help the design. Designs to achieve different goals, such as being able to walk on an inclined surface, walk at a high speed or with a specified step size have been evolved with the use of the genetic algorithm. Simulation results show that the genetic algorithm is capable of finding good solutions
Keywords :
control system synthesis; genetic algorithms; legged locomotion; search problems; biped locomotion; biped walking robot; control design; gait control; genetic algorithm; parameter search problem; Algorithm design and analysis; Control design; Equations; Foot; Genetic algorithms; Legged locomotion; Linear feedback control systems; Optimal control; Robots; Search problems;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537954