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.
CITATION STYLE
Pattanayak, S., Agarwal, S., Choudhury, B. B., & Sahoo, S. C. (2019). Path planning of mobile robot using pso algorithm. In Smart Innovation, Systems and Technologies (Vol. 106, pp. 515–522). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-13-1742-2_51
Mendeley helps you to discover research relevant for your work.