Robot motion planning by a hierarchical search on a modified discretized configuration space
Antti Autere, Johannes Lehtinen
- 发表年份
- 2002
- 引用次数
- 5
摘要
In this paper, a hierarchical A*-based method for motion planning of robot manipulators is presented. The algorithm's advantage is its simplicity. The algorithm is also shown to be resolution complete. The algorithm searches the robot's configuration space with many different "step sizes" at the same time. The step size denotes the distance between the nodes A* expands during the search. When a path candidate goes far from the obstacles, a big step size is used. When it goes near the obstacle surfaces, a smaller step size is used. Two simulated robot workcells are provided for experimental study. The motion planning of 5 and 6-degrees-of-freedom industrial robots appears to be reasonably fast.
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