Cooperative robot swarm locomotion using genetic algorithms

被引：0
|
作者：
Byington, Matthew D. [1 ]
Bishop, Bradley E. [1 ]
机构：
[1] USN Acad, Annapolis, MD 21412 USA
来源：
PROCEEDINGS OF THE 40TH SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY | 2008年
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper focuses on the design of a decentralized controller for cooperative locomotion in a swarm of robotic agents. Each agent is assumed to be able to locomote over even terrain, grasp other robots, and climb onto a stack of robots. Genetic algorithms and genetic programming methods are applied to develop locomotion controllers for single units as well as decentralized controllers intended to allow the swarm of units to pass over uneven terrain that no single unit can surmount. The goal is to develop a system that provides a high probability of large numbers of units passing through sets of test obstacles. The results are shown through simulation exercises.
引用
收藏
页码：252 / 256
页数：5
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