Task Cooperation and Behavior Coordination of Multi-Robot Environment Exploration Based on Artificial Potential Field
Chao Li, Qin Shi
- 发表年份
- 2013
- 引用次数
- 2
摘要
This paper presents a new approach to multi-robot exploration of unstructured environment in which both multi-robot task cooperation and behavior coordination strategies are implemented. The task cooperation is achieved by assigning exploring goals to robots dynamically in a cooperative way, and the behavior coordination of robots are carried out with modified artificial potential field to assure a balanced distribution along the frontier areas as soon as possible. In this way, unnecessary detours are avoided so as to make the exploration process more efficient. A series of simulation results demonstrate that the task cooperation and behavior coordination among multiple robots are well implemented to distribute various robots over the unknown complex environment properly and accomplish the exploration mission effectively.
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