The Research on Multi-robot Simultaneous Localization Mapping Algorithm
Zhenhua Wei, Guolin Huang, Peidong Wang
- Year
- 2007
- Citations
- 4
Abstract
We study the multi-robots collaborating under controlled by the same worksite. And a Sherwood algorithm approach based on dynamic area for the multi-robots Simultaneous Localization and Mapping (SLAM) problem is proposed. It can calculate the location of the robots in the joint map by Sherwood algorithm. This task can be done with using a collection of the environment features of their own planar surface on which these robots are moving. The theoretical analysis and results of experiments show that the mapping of the dynamic area can greatly improve exploring efficiency and Sherwood algorithm can enhance the real-time of localization of each robot.
Keywords
Related papers
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