Survey on Collaborative Task Assignment for Heterogeneous UAVs Based on Artificial Intelligence Methods
Heterogeneous unmanned aerial vehicle (UAV) swarms have garnered significant attention from researchers worldwide due to their remarkable flexibility, diverse mission capabilities, and wide-ranging potential applications. Mission planning stands at the core of UAV swarm operations, requiring conside...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2024-12-01
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| Series: | CAAI Artificial Intelligence Research |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/AIR.2024.9150033 |
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| _version_ | 1841550174865850368 |
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| author | Mengzhen Li Na Li Xiaoyu Shao Jiahe Wang Dachuan Xu |
| author_facet | Mengzhen Li Na Li Xiaoyu Shao Jiahe Wang Dachuan Xu |
| author_sort | Mengzhen Li |
| collection | DOAJ |
| description | Heterogeneous unmanned aerial vehicle (UAV) swarms have garnered significant attention from researchers worldwide due to their remarkable flexibility, diverse mission capabilities, and wide-ranging potential applications. Mission planning stands at the core of UAV swarm operations, requiring consideration of various factors including mission environment, requirements, and inherent characteristics. In this paper, we investigate the model of the cooperative tasking problem in heterogeneous UAV swarms. We provide a comprehensive review of artificial intelligence algorithms applied in UAV swarm mission planning, analyzing their strengths and weaknesses in multi-UAV cooperative environments. By discussing these key techniques and their practical applications, the article highlights future research trends and challenges. This review serves as a valuable reference for understanding the current state of AI algorithm applications in heterogeneous UAV swarm task assignments. |
| format | Article |
| id | doaj-art-3ae267aaa25347b2b5380ec14144f33b |
| institution | Kabale University |
| issn | 2097-194X 2097-3691 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | CAAI Artificial Intelligence Research |
| spelling | doaj-art-3ae267aaa25347b2b5380ec14144f33b2025-01-10T06:44:32ZengTsinghua University PressCAAI Artificial Intelligence Research2097-194X2097-36912024-12-013915003310.26599/AIR.2024.9150033Survey on Collaborative Task Assignment for Heterogeneous UAVs Based on Artificial Intelligence MethodsMengzhen Li0Na Li1Xiaoyu Shao2Jiahe Wang3Dachuan Xu4Department of Operations Research and Information Engineering, Beijing University of Technology, Beijing 100124, ChinaBeijing Jinghang Research Institute of Computing and Communication, Beijing 100074, ChinaDepartment of Operations Research and Information Engineering, Beijing University of Technology, Beijing 100124, ChinaDepartment of Operations Research and Information Engineering, Beijing University of Technology, Beijing 100124, ChinaDepartment of Operations Research and Information Engineering, Beijing University of Technology, Beijing 100124, ChinaHeterogeneous unmanned aerial vehicle (UAV) swarms have garnered significant attention from researchers worldwide due to their remarkable flexibility, diverse mission capabilities, and wide-ranging potential applications. Mission planning stands at the core of UAV swarm operations, requiring consideration of various factors including mission environment, requirements, and inherent characteristics. In this paper, we investigate the model of the cooperative tasking problem in heterogeneous UAV swarms. We provide a comprehensive review of artificial intelligence algorithms applied in UAV swarm mission planning, analyzing their strengths and weaknesses in multi-UAV cooperative environments. By discussing these key techniques and their practical applications, the article highlights future research trends and challenges. This review serves as a valuable reference for understanding the current state of AI algorithm applications in heterogeneous UAV swarm task assignments.https://www.sciopen.com/article/10.26599/AIR.2024.9150033heterogeneous unmanned aerial vehicles (uavs)collaborative task assignmentartificial intelligence methods |
| spellingShingle | Mengzhen Li Na Li Xiaoyu Shao Jiahe Wang Dachuan Xu Survey on Collaborative Task Assignment for Heterogeneous UAVs Based on Artificial Intelligence Methods CAAI Artificial Intelligence Research heterogeneous unmanned aerial vehicles (uavs) collaborative task assignment artificial intelligence methods |
| title | Survey on Collaborative Task Assignment for Heterogeneous UAVs Based on Artificial Intelligence Methods |
| title_full | Survey on Collaborative Task Assignment for Heterogeneous UAVs Based on Artificial Intelligence Methods |
| title_fullStr | Survey on Collaborative Task Assignment for Heterogeneous UAVs Based on Artificial Intelligence Methods |
| title_full_unstemmed | Survey on Collaborative Task Assignment for Heterogeneous UAVs Based on Artificial Intelligence Methods |
| title_short | Survey on Collaborative Task Assignment for Heterogeneous UAVs Based on Artificial Intelligence Methods |
| title_sort | survey on collaborative task assignment for heterogeneous uavs based on artificial intelligence methods |
| topic | heterogeneous unmanned aerial vehicles (uavs) collaborative task assignment artificial intelligence methods |
| url | https://www.sciopen.com/article/10.26599/AIR.2024.9150033 |
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