Path Planning Approaches in Multi‐robot System: A Review
ABSTRACT The essential factor in developing multi‐robot systems is the generation of an optimal path for task completion by multiple robots. To ensure effective path planning, this paper studies the recent publications and provides a detailed review of the path planning approaches to avoid collision...
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| Format: | Article |
| Language: | English |
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Wiley
2025-01-01
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| Series: | Engineering Reports |
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| Online Access: | https://doi.org/10.1002/eng2.13035 |
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| author | Semonti Banik Sajal Chandra Banik Sarker Safat Mahmud |
| author_facet | Semonti Banik Sajal Chandra Banik Sarker Safat Mahmud |
| author_sort | Semonti Banik |
| collection | DOAJ |
| description | ABSTRACT The essential factor in developing multi‐robot systems is the generation of an optimal path for task completion by multiple robots. To ensure effective path planning, this paper studies the recent publications and provides a detailed review of the path planning approaches to avoid collisions in uncertain environments. In this article, path‐planning approaches for multiple robots are categorized primarily into classical, heuristic, and artificial intelligence‐based methods. Among the heuristic approaches, bio‐inspired approaches are mostly employed to optimize the classical approaches to enhance their adaptability. The articles are analyzed based on static and dynamic scenarios, real‐time experiments, and simulations involving hybrid solutions. The increasing focus on using hybrid approaches in dynamic environments is found mostly in the papers employing heuristic and AI‐based approaches. In real‐time applications, AI‐based approaches are highly implemented in comparison to heuristic and classical approaches. Moreover, the findings from this review, highlighting the strengths and drawbacks of each algorithm, can help researchers select the appropriate approach to overcome the limitations in designing efficient multi‐robot systems. |
| format | Article |
| id | doaj-art-00001d35ee6a4be2b00522ba742b13fb |
| institution | Kabale University |
| issn | 2577-8196 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Engineering Reports |
| spelling | doaj-art-00001d35ee6a4be2b00522ba742b13fb2025-01-31T00:22:48ZengWileyEngineering Reports2577-81962025-01-0171n/an/a10.1002/eng2.13035Path Planning Approaches in Multi‐robot System: A ReviewSemonti Banik0Sajal Chandra Banik1Sarker Safat Mahmud2Department of Mechatronics and Industrial Engineering Chittagong University of Engineering and Technology Chittagong BangladeshDepartment of Mechanical Engineering Chittagong University of Engineering and Technology Chittagong BangladeshDepartment of Mechatronics and Industrial Engineering Chittagong University of Engineering and Technology Chittagong BangladeshABSTRACT The essential factor in developing multi‐robot systems is the generation of an optimal path for task completion by multiple robots. To ensure effective path planning, this paper studies the recent publications and provides a detailed review of the path planning approaches to avoid collisions in uncertain environments. In this article, path‐planning approaches for multiple robots are categorized primarily into classical, heuristic, and artificial intelligence‐based methods. Among the heuristic approaches, bio‐inspired approaches are mostly employed to optimize the classical approaches to enhance their adaptability. The articles are analyzed based on static and dynamic scenarios, real‐time experiments, and simulations involving hybrid solutions. The increasing focus on using hybrid approaches in dynamic environments is found mostly in the papers employing heuristic and AI‐based approaches. In real‐time applications, AI‐based approaches are highly implemented in comparison to heuristic and classical approaches. Moreover, the findings from this review, highlighting the strengths and drawbacks of each algorithm, can help researchers select the appropriate approach to overcome the limitations in designing efficient multi‐robot systems.https://doi.org/10.1002/eng2.13035artificial intelligenceclassical approachesheuristic approachesmulti‐robot systempath planning |
| spellingShingle | Semonti Banik Sajal Chandra Banik Sarker Safat Mahmud Path Planning Approaches in Multi‐robot System: A Review Engineering Reports artificial intelligence classical approaches heuristic approaches multi‐robot system path planning |
| title | Path Planning Approaches in Multi‐robot System: A Review |
| title_full | Path Planning Approaches in Multi‐robot System: A Review |
| title_fullStr | Path Planning Approaches in Multi‐robot System: A Review |
| title_full_unstemmed | Path Planning Approaches in Multi‐robot System: A Review |
| title_short | Path Planning Approaches in Multi‐robot System: A Review |
| title_sort | path planning approaches in multi robot system a review |
| topic | artificial intelligence classical approaches heuristic approaches multi‐robot system path planning |
| url | https://doi.org/10.1002/eng2.13035 |
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