Analysis of Internal Force in Robotic Contact Tasks.
Yusuke Maeda, Yasumichi AIYAMA, Tamio Arai
- 发表年份
- 2001
- 引用次数
- 4
- 访问权限
- 开放获取
摘要
Robots may suffer from excessive internal force in contact tasks especially when they are position-controlled or executing complicated assemblies. Excessive internal force will lead to failure of the tasks, so it is important to predict and avoid such situations. This paper presents mechanical analysis of internal force applied to objects in robotic manipulation. A linear-programming-based algorithm that can judge the possibility of excessive internal force under Coulomb friction is proposed. Numerical examples including an internal force problem in graspless manipulation and a wedging problem in peg-in-hole are also showed. Our algorithm will help the planning of robotic contact tasks.
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