Navigation, Control and Mission Planning Advances for Safe, Efficient and Autonomous Drones
Drones have considerably evolved in the last two decades across the air, ground and marine domains, with an increased emphasis on their safety, autonomy and performance. In the UK, advancing drone autonomy for commercial aerial vehicles was the main focus of a policy paper jointly developed by the U...
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| Format: | Online |
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| Jezik: | engleski |
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MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Teme: | |
| Online pristup: | ONIX_20260416T142754_9783725861712_45 |
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| _version_ | 1869527431996506112 |
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| collection | Directory of Open Access Books |
| description | Drones have considerably evolved in the last two decades across the air, ground and marine domains, with an increased emphasis on their safety, autonomy and performance. In the UK, advancing drone autonomy for commercial aerial vehicles was the main focus of a policy paper jointly developed by the UK government and the sector. More generally, recent research is increasingly focused on the challenges associated with vehicle motion planning, navigation and control to perform increasingly demanding tasks in challenging environments. Recent advances in artificial intelligence, including deep and reinforcement learning present new opportunities in this field but concerns remain due to the need to ensure safety with trustworthy and explainable solutions. This Reprint presents some of the latest advances in path planning, navigation and control for autonomous ground, aerial and marine vehicles in challenging or uncertain environments. |
| format | Online |
| id | doab-20.500.12854ir-175290 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1752902026-04-16T20:04:16Z Navigation, Control and Mission Planning Advances for Safe, Efficient and Autonomous Drones Horri, Nadjim Khan, Samir Lappas, Vaios Autonomous drones Mission planning Control Path planning Navigation AUV Reinforcement learning GNSS-denied UAV Quadcopter thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Drones have considerably evolved in the last two decades across the air, ground and marine domains, with an increased emphasis on their safety, autonomy and performance. In the UK, advancing drone autonomy for commercial aerial vehicles was the main focus of a policy paper jointly developed by the UK government and the sector. More generally, recent research is increasingly focused on the challenges associated with vehicle motion planning, navigation and control to perform increasingly demanding tasks in challenging environments. Recent advances in artificial intelligence, including deep and reinforcement learning present new opportunities in this field but concerns remain due to the need to ensure safety with trustworthy and explainable solutions. This Reprint presents some of the latest advances in path planning, navigation and control for autonomous ground, aerial and marine vehicles in challenging or uncertain environments. 2026-04-16T20:04:04Z 2026-04-16T20:04:04Z 2026 book ONIX_20260416T142754_9783725861712_45 9783725861712 9783725861729 https://directory.doabooks.org/handle/20.500.12854/175290 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/12202 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6172-9 10.3390/books978-3-7258-6172-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725861712 9783725861729 254 CH open access |
| spellingShingle | Autonomous drones Mission planning Control Path planning Navigation AUV Reinforcement learning GNSS-denied UAV Quadcopter thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Navigation, Control and Mission Planning Advances for Safe, Efficient and Autonomous Drones |
| title | Navigation, Control and Mission Planning Advances for Safe, Efficient and Autonomous Drones |
| title_full | Navigation, Control and Mission Planning Advances for Safe, Efficient and Autonomous Drones |
| title_fullStr | Navigation, Control and Mission Planning Advances for Safe, Efficient and Autonomous Drones |
| title_full_unstemmed | Navigation, Control and Mission Planning Advances for Safe, Efficient and Autonomous Drones |
| title_short | Navigation, Control and Mission Planning Advances for Safe, Efficient and Autonomous Drones |
| title_sort | navigation control and mission planning advances for safe efficient and autonomous drones |
| topic | Autonomous drones Mission planning Control Path planning Navigation AUV Reinforcement learning GNSS-denied UAV Quadcopter thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | Autonomous drones Mission planning Control Path planning Navigation AUV Reinforcement learning GNSS-denied UAV Quadcopter thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20260416T142754_9783725861712_45 |