SWARM
Position estimation of a mobile robot by PSO algorithm using a laser range finder
Li‐Chun Lai, Chunfeng Lu, Yen-Ching Chang, Tsong‐Li Lee
- Year
- 2011
- Citations
- 3
Abstract
This paper shows that a laser range finder and four artificial reflectors can be used to determine the position of a mobile robot in a three-dimensional (3D) working space provided that the four reflectors are not installed in the same plane. Moreover, a particle swarm optimization (PSO) algorithm is used to filter possible measuring errors. To show the feasibility and accuracy of the proposed method, experimental results are included for illustration.
Keywords
Particle swarm optimizationPosition (finance)Computer scienceMobile robotRange (aeronautics)Particle filterComputer visionArtificial intelligenceRobotPlane (geometry)
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