Title :
Evolved humanoid robot walking
Author_Institution :
Dept. of Digital Electron., Inha Tech. Coll., Incheon, South Korea
Abstract :
Evolutionary design of Sugeno-type fuzzy system for humanoid robot modeling is presented in this paper. In the proposed design of fuzzy system, determination of membership function type, number of membership function assigned to input variables, types of consequent equation for fuzzy rules, optimal number of input variables, and dominant input variables among input candidates are carried out using evolutionary algorithm.
Keywords :
evolutionary computation; fuzzy set theory; fuzzy systems; humanoid robots; Sugeno-type fuzzy system; evolutionary algorithm; fuzzy rules; humanoid robot walking; input candidates; input variables; membership function type; Biological cells; Fuzzy systems; Humanoid robots; Input variables; Legged locomotion; Mathematical model; Evolved humanoid robot; Sugeno-type fuzzy system; walking;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2011 11th International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4577-0835-0