Abstract
Recent advances in mobile robot path planning are turns into a prevalence research field. This paper proffers a metaheuristic approach to optimize the mobile robot path length by adopting particle swarm optimization (PSO) algorithm. This approach reckons the curtail path length between staring and goal point for the mobile robot without any physical contact to the obstacles. A static environment with known obstacles position is designed for evaluation of path length by this method. Total nine numbers of obstacles are taken into consideration for this study. The program for PSO optimization approach was written using MATLAB software.
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Pattanayak, S., Sahoo, S.C., Choudhury, B.B. (2019). An Effective Path Planning of a Mobile Robot. In: Nayak, J., Abraham, A., Krishna, B., Chandra Sekhar, G., Das, A. (eds) Soft Computing in Data Analytics . Advances in Intelligent Systems and Computing, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-13-0514-6_18
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DOI: https://doi.org/10.1007/978-981-13-0514-6_18
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