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Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method
- Source :
- Cognitive Robotics, Vol 4, Iss , Pp 62-73 (2024)
- Publication Year :
- 2024
- Publisher :
- KeAi Communications Co. Ltd., 2024.
-
Abstract
- The Mobile Robot Path Problem looks to find the optimal shortest path from the starting point to the target point with collision-free for a mobile robot. This is a popular issue in robotics and in this paper the environment is considered as static and represented as a bidirectional grid map. Besides, the novel optimal method Dhouib-Matrix-SPP (DM-SPP) is applied to create the optimal shortest path for a mobile robot in a static environment. DM-SPP is a greedy method based on a column row navigation in the distance matrix and characterized by its rapidity to solve sparse graphs. The comparative analysis is conducted by applying DM-SPP on thirteen test cases and comparing its results to the results given by four metaheuristics the Max-Min Ant System, the Ant System with punitive measures, the A* and the Improved Hybrid A*. The outcomes acquired from different scenarios indicate that the proposed DM-SPP method can rapidly outperform the four predefined artificial intelligence methods.
Details
- Language :
- English
- ISSN :
- 26672413
- Volume :
- 4
- Issue :
- 62-73
- Database :
- Directory of Open Access Journals
- Journal :
- Cognitive Robotics
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.5844ae52ebce4018b71cd4433f309dbe
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.cogr.2024.02.001