SWARM
A new approach of multi-robot cooperative pursuit
Chen Wang, Ting Zhang, Kai Wang, Shuaiyi Lv, Hongbin Ma
- Year
- 2013
- Citations
- 13
Abstract
This paper addresses a new method to handle with problems on hunting activities of a multi-robot system in dynamic environment. Some necessary conditions, on which a group of robots with different velocities can develop a successful surround-and-capture process on a target with satisfactory performances, are also discussed by illustrations. Based on the quick-surrounding direction and quick-capture direction obtained, the paper provides an optimized pursuit strategy, which yields an optimal path in certain sense, whose effectiveness withstands the test of algorithm simulation.
Keywords
RobotProcess (computing)Computer sciencePath (computing)Motion planningArtificial intelligenceMobile robotSimulationComputer vision
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002