Optimized Path Planning Techniques for Navigational Control of Mobile Robot Using Grass Fire Algorithm in Obstacle Environment
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53728-8_14
Reference18 articles.
1. Alabdalbari, A.A., Abed, I.A.: New robot path planning optimization using hybrid GWO-PSO algorithm. Bull. Electr. Eng. Inform. 11(3), 1289–1296 (2022). https://doi.org/10.11591/eei.v11i3.3677
2. Fuad, M., Agustinah, T., Purwanto, D.: Collision avoidance of multi modal moving objects for mobile robot using hybrid velocity obstacles. Int. J. Intell. Eng. Syst. 13(3), 407–421 (2020). https://doi.org/10.22266/IJIES2020.0630.37
3. Abdulsahebs, J.A., Kadhim, D.J.: Robot path planning in unknown environments with multi-objectives using an improved COOT optimization algorithm. Int. J. Intell. Eng. Syst. 15(5), 548–565 (2022). https://doi.org/10.22266/ijies2022.1031.48
4. Dewang, H.S., Mohanty, P.K., Kundu, S.: A robust path planning for mobile robot using smart particle swarm optimization. Procedia Comput. Sci. 133, 290–297 (2018). https://doi.org/10.1016/j.procs.2018.07.036
5. Kanoon, Z.E., Al-Araji, A.S., Abdullah, M.N.: Enhancement of cell decomposition path-planning algorithm for autonomous mobile robot based on an intelligent hybrid optimization method. Int. J. Intell. Eng. Syst. 15(3), 161–175 (2022). https://doi.org/10.22266/ijies2022.0630.14
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