Abstract
Recent trends in path planning of mobile robot are emerging as preponderance research field. This paper presents particle swarm optimization (PSO) for optimizing the path length of the mobile robot. The proposed approach downsizes the path length for the mobile robot without any physical meeting of the obstacles between starting and destination point. This method uses a static environment for the estimation of path length between two points. Totally, six numbers of obstacles are taken into consideration for this evaluation work. MATLAB software was used for generating the programs for the PSO approach.
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Pattanayak, S., Agarwal, S., Choudhury, B.B., Sahoo, S.C. (2019). Path Planning of Mobile Robot Using PSO Algorithm. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-13-1742-2_51
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DOI: https://doi.org/10.1007/978-981-13-1742-2_51
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