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An Optimization Approach for Underactuated Running Robot

Tomoya Takahashi, Masaki Yamakita, Sang-Ho Hyon

发表年份
2006
引用次数
7

摘要

In this paper, a systematic control method based on numerical optimization methods for a running robot which has a springs at a ankle joint mimicking biotic tendons is proposed. In the proposed method, periodic trajectories are generated in a combination of a numerical optimization method named PSO (particle swarm optimization) and a basic simplex method under several constraints, and the method is a systematic way to generate desired trajectories. For the realization of the motion, a feedback controller is then designed based on a linearized model around the trajectory. The validity of the method is evaluated by numerical simulations

关键词

TrajectoryUnderactuationControl theory (sociology)Particle swarm optimizationComputer scienceRobotRealization (probability)Controller (irrigation)Multi-swarm optimizationSimplex algorithm

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