An improved method for multi-robot cooperative localization based on relative bearing
Ling Wang, Weihong Fan, Hengyang Zhang
- Year
- 2009
- Citations
- 4
Abstract
The problem of multi-robot cooperative localization based on relative bearings is researched in this paper. Relative bearings of different robots are fused with motions to improve the localization accuracy of robots. We analyse the situations about relative positions of the robots and their motion trajectories. Some relative positions and motion trajectories of the robots easily lead to not-converged localization results. We present an improved method to overcome the fault. The robust and practicability of localization are greatly increased. Simulation results prove the method is effective in dealing with the cooperative localization problem.
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