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A PSO-inspired multi-robot search algorithm independent of global information

Qian Zhu, Alei Liang, Haibing Guan

Year
2011
Citations
32

Abstract

This paper presents an algorithm that coordinates mobile robots to find the desired targets without depending on precise global information. We compare the abstract solution space in PSO and physical environment that robots will explore. According to similarities and differences between them, we introduce a PSO-inspired search algorithm to guide robots to complete the search mission. Moreover, a novel method based on Cartesian geometry for unifying relative coordinate systems will be adopted to improve system's robustness and efficiency.

Keywords

Robustness (evolution)RobotMobile robotCartesian coordinate systemComputer scienceCoordinate systemArtificial intelligenceCartesian coordinate robotComputer visionAlgorithm

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