Navigation strategy for a quadruped robot on soft flat ground
Masaaki Ikeda, Kiyotaka Izumi, Keigo Watanabe
- 发表年份
- 2010
- 引用次数
- 2
摘要
Tasks important for a mobile robot are the environmental recognition and the obstacle avoidance in the real world. The legged robot can be adapted for rough terrains. It is because the legged robot has a high degree of freedom in order to avoid an obstacle to three dimensions. In this paper, we propose a locomotion strategy on the terrain with stiffness which is different in each. The propriety of a continuation walk is determined by the force sensor mounted to the bottom of each leg of a quadruped robot. The effectiveness of the proposal approach is verified from the result of the experiment which uses the prevalent quadruped robot called TITAN-VIII.
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