首页 /研究 /Particle swarm optimization based multi-robot task allocation using wireless sensor network
SWARM

Particle swarm optimization based multi-robot task allocation using wireless sensor network

Xun Li, Hongxu Ma

发表年份
2008
引用次数
11

摘要

To solve the multi-robot task allocation (MRTA) especially in unknown complex environment, a novel dynamic algorithm was put forward with the advantages of wireless sensor network (WSN). The architecture and sensor fusion of WSN were discussed. Particle swarm optimization (PSO) algorithm based on bionic swarm intelligence was used for solution of the multi-objective optimization. A practical implementation with real WSN and real mobile robots were carried out. The successful implementation of tasks validates the efficiency, stability and accuracy of the proposed algorithm.

关键词

Particle swarm optimizationWireless sensor networkComputer scienceTask (project management)RobotMobile robotSwarm intelligenceStability (learning theory)Sensor fusionMulti-swarm optimization

相关论文

查看 SWARM 分类全部论文