Application of Particle Swarm Optimization to Humanoid Robot Walking

被引:0
|
作者
Choi, YoungLim [1 ]
Choi, NakYoon [1 ]
Kim, Jong-Wook [1 ]
机构
[1] Dong A Univ, Dept Elect Engn, Busan, South Korea
基金
新加坡国家研究基金会;
关键词
biped walking; gait analysis; humanoid robot; particle swarm optimization; joint trajectory generation;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Humanoid robot is the most popular robot type, which requires biped walking as a basic locomotion technique. This paper newly proposes a design technique of two-stage gait cycle adopting the joint angle data for normal walking, interpolation techniques with blending polynomial, and PSO as a global optimization method. Effectiveness of the proposed gait design scheme is verified through simulation.
引用
收藏
页码:2047 / 2050
页数:4
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