Title
Generation of walking periodic motions for a biped robot via genetic algorithms
Abstract
Abstract: This paper presents the design of walking motions of a biped robot by a computational intelligent method. The proposed method finds the parameters of the output functions that produce such motion in the closed-loop system which fulfill the requirements of stability and minimal energy control by formulating a constrained optimization problem. A set of parameters which produces periodic motions with low energy control magnitudes and its closed-loop system trajectories are shown through a numerical study case of a 3-DOF biped robot.
Year
DOI
Venue
2011
10.1016/j.asoc.2011.05.030
Appl. Soft Comput.
Keywords
Field
DocType
closed-loop system trajectory,constrained optimization,numerical study case,genetic algorithm,periodic motions design,genetic algorithms,3-dof biped robot,minimal energy control,low energy control magnitude,computational intelligent method,biped robot,optimization problem,biped robot walking,closed-loop system,periodic motion
Mathematical optimization,Low energy,Control theory,Energy control,Constrained optimization problem,Robot,Periodic graph (geometry),Genetic algorithm,Mathematics,Constrained optimization
Journal
Volume
Issue
ISSN
11
8
Applied Soft Computing Journal
Citations 
PageRank 
References 
9
0.64
16
Authors
3
Name
Order
Citations
PageRank
Selene Cardenas1716.59
Oscar Castillo25289452.83
Luis T. Aguilar32209.09