Control of under actuated biped running robot via synchronous oscillator
Susumu Ohtake, Masaki Yamakita, Sang-Ho Hyon
- 发表年份
- 2008
- 引用次数
- 2
摘要
In this paper, we propose a control method which is adaptive to the environment and does not dependent on dynamic models, and apply it to a biped underactuated robot named “KenkenII” which have springs mimicing tendon system of animals, so that KenkenII can run stably from zero-velocity on irregular terrain. In the proposed method we use synchronous oscillators which are called “Mutually Inhibiting Neurons with Adaptation” that synclonize robot’s motion, and some adjustment feedback based on physical dynamics of robots is included. Each parameters is seached by PSO(Particle Swarm Optimization) and the validity is conformedmed by numerical simulation.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002