Abstract
Path planning is one of the research axes in mobile robotics, it allows us to plan a path linked, the robot's starting point and the goal to guarantee autonomous navigation for the mobile robot. This work presents a quantitative methodology to compare the Particle Swarm Optimization algorithm and Fuzzy Logic, applied to solve the path-planning problem, taking into account their basic concepts and results obtained.
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CITATION STYLE
Oultiligh, A., Ayad, H., Elkari, A., & Mjahed, M. (2021). Path planning using particle swarm optimization and fuzzy logic. In Advances in Intelligent Systems and Computing (Vol. 1193, pp. 239–251). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-51186-9_17
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