Mobile robot path planning using multi-objective genetic algorithm in industrial automation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07300-8.pdf
Reference23 articles.
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2. Bakdi A, Hentout A, Boutami H, Maoudj A, Hachour O, Bouzouia B (2017) Optimal path planning and execution for mobile robots using genetic algorithm and adaptive fuzzy-logic control. Robot Auton Syst 89:95–109. https://doi.org/10.1016/j.robot.2016.12.008
3. Chen W, Jhong B, Chen M (2016) Design of path planning and obstacle avoidance for a wheeled mobile robot. Int J Fuzzy Syst 18(6):1080–1091. https://doi.org/10.15623/ijret.2013.0206009 (Springer)
4. Contreras-Cruz MA, Ayala-Ramirez V, Hernandez-Belmonte UH (2015) Mobile robot path planning using artificial bee colony and evolutionary programming. Appl Soft Comput 30:319–328. https://doi.org/10.1016/j.asoc.2015.01.067 (Elsevier)
5. Cowlagiand RV, Tsiotras P (2014) Curvature-bounded traversability analysis in motion planning for mobile robots. IEEE Trans Robot 30(4):1011–1019. https://doi.org/10.1109/TRO.2014.2315711
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