Application of particle swarm optimization to humanoid robot walking

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.