A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots
This paper presents a comprehensive review of path planning in dynamic environments. This review covers the entire process, starting from obstacle detection techniques, through path-planning strategies, and also extending to formation control and communication styles. The review discusses the key tr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/24/8089 |
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| author | Nour AbuJabal Mohammed Baziyad Raouf Fareh Brahim Brahmi Tamer Rabie Maamar Bettayeb |
| author_facet | Nour AbuJabal Mohammed Baziyad Raouf Fareh Brahim Brahmi Tamer Rabie Maamar Bettayeb |
| author_sort | Nour AbuJabal |
| collection | DOAJ |
| description | This paper presents a comprehensive review of path planning in dynamic environments. This review covers the entire process, starting from obstacle detection techniques, through path-planning strategies, and also extending to formation control and communication styles. The review discusses the key trends, challenges, and gaps in current methods to emphasize the need for more efficient and robust algorithms that can handle complex and unpredictable dynamic environments. Moreover, it discusses the importance of collaborative decision making and communication between robots to optimize path planning in dynamic scenarios. This work serves as a valuable resource for advancing research and practical applications in dynamic obstacle navigation. |
| format | Article |
| id | doaj-art-9cb0f3fdca5b428a8d5a1cac9a7029a9 |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-9cb0f3fdca5b428a8d5a1cac9a7029a92025-08-20T02:56:58ZengMDPI AGSensors1424-82202024-12-012424808910.3390/s24248089A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous RobotsNour AbuJabal0Mohammed Baziyad1Raouf Fareh2Brahim Brahmi3Tamer Rabie4Maamar Bettayeb5Research Institute of Sciences & Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesResearch Institute of Sciences & Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesElectrical Engineering Department, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesDepartment of Electrical and Electronics Engineering, Collège Ahuntsic, Montreal, QC H2M 1Y8, CanadaComputer Engineering Department, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesElectrical Engineering Department, University of Sharjah, Sharjah P.O. Box 27272, United Arab EmiratesThis paper presents a comprehensive review of path planning in dynamic environments. This review covers the entire process, starting from obstacle detection techniques, through path-planning strategies, and also extending to formation control and communication styles. The review discusses the key trends, challenges, and gaps in current methods to emphasize the need for more efficient and robust algorithms that can handle complex and unpredictable dynamic environments. Moreover, it discusses the importance of collaborative decision making and communication between robots to optimize path planning in dynamic scenarios. This work serves as a valuable resource for advancing research and practical applications in dynamic obstacle navigation.https://www.mdpi.com/1424-8220/24/24/8089path planningmulti-robotformation controlleader–followervirtual formationbehavior-based formation |
| spellingShingle | Nour AbuJabal Mohammed Baziyad Raouf Fareh Brahim Brahmi Tamer Rabie Maamar Bettayeb A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots Sensors path planning multi-robot formation control leader–follower virtual formation behavior-based formation |
| title | A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots |
| title_full | A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots |
| title_fullStr | A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots |
| title_full_unstemmed | A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots |
| title_short | A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots |
| title_sort | comprehensive study of recent path planning techniques in dynamic environments for autonomous robots |
| topic | path planning multi-robot formation control leader–follower virtual formation behavior-based formation |
| url | https://www.mdpi.com/1424-8220/24/24/8089 |
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