Collaborative Task Planning Method for Heterogeneous UAVs Based on Resource Constrained Project Scheduling
DOI: 10.23977/autml.2025.060114 | Downloads: 4 | Views: 205
Author(s)
Rongwei Cui 1, Xiangyu Liu 1, Liangliang Cheng 1, Xichao Su 1
Affiliation(s)
1 Naval Aviation University, Yantai, China
Corresponding Author
Xichao SuABSTRACT
In this paper, the heterogeneous UAVs collaborative task planning problem is studied based on the resource constrained project scheduling. The main contributions and conclusions are as follows. First, the precedence constrains and resource constrains of heterogeneous UAVs collaborative task planning is analyzed, and the relevant mathematical model is established. Second, the planning method based on the resource constrained project scheduling is proposed, which is divided into the AON network establishment stage and the scheduling plan generation stage. The parallel and serial scheduling generation mechanism is presented, which are used to produce a feasible scheduling plan. Third, the proposed planning method is used to solve a mission case. The experiment result shows that the parallel scheduling generation scheme outperforms the serial one in our heterogeneous UAVs collaborative task planning problem. By conducting experiments in the case study section, the correctness of the mathematical model and the planning framework are verified.
KEYWORDS
Unmanned Aerial Vehicle, Task Planning, Project SchedulingCITE THIS PAPER
Rongwei Cui, Xiangyu Liu, Liangliang Cheng, Xichao Su, Collaborative Task Planning Method for Heterogeneous UAVs Based on Resource Constrained Project Scheduling. Automation and Machine Learning (2025) Vol. 6: 118-126. DOI: http://dx.doi.org/10.23977/autml.2025.060114.
REFERENCES
[1] Ye F., Chen J., Sun Q., Tian, Y., Jiang T.(2021) Decentralized task allocation for heterogeneous multi-UAV system with task couplingconstraints. The Journal of Supercomputing. 77, 111–132.
[2] Chen X., Wu Y., Xu S. (2024) Mission Planning of UAVs and UGV for Building Inspection in Rural Area. Algorithms, 17, 177. https://doi.org/10.3390/a17050177.
[3] Yan J., Zhang X., Shen S., He X., Xia X., Li N., Wang S., Yang Y., Ding N.(2023) A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. Drones, 7, 574.
[4] Wang Z., Li M., Li J., Cao J., Wang H.(2016) A task allocation algorithm based on market mechanism for multiple robot systems. In Proceedings of the 2016 IEEE International Conference on Real-Time Computing and Robotics (RCAR), Angkor Wat, Cambodia, 150–155.
[5] Peng Q., Wu H., Xue R.(2021) Review of dynamic task allocation methods for UAV swarms oriented to ground targets. Complex System Modeling and Simulation, 1, 163–175.
[6] Wu Y., Liang T., Gou J., Tao C., Wang H. (2023) Heterogeneous mission planning for multiple UAV formations via metaheuristic algorithms. IEEE transactions on aerospace and electronic system, 59, 3924–3940.
[7] Zhang Y., Hu B., Li J, Zhang J.(2016) Heterogeneous multi-UAVs cooperative task assignment based on GSA-GA. In Proceedings of the 2016 IEEE International Conference on Aircraft Utility Systems (AUS), 423–426.
[8] Zhu W., Li L., Teng L., Yonglu W.(2018) Multi-UAV reconnaissance task allocation for heterogeneous targets using an opposition-based genetic algorithm with double-chromosome encoding. Chinese Journal of Aeronautics, 31, 339–350.
[9] Yan M., Yuan H., Xu J., Yu Y.(2021) Jin L. Task allocation and route planning of multiple UAVs in a marine environment based on an improved particle swarm optimization algorithm. EURASIP Journal on Advances in Signal Processing,94. https://doi.org/10.1186/s13634-021-00804-9.
[10] Ye F., Chen J., Tian Y., Jiang T. (2020) Cooperative Multiple Task Assignment of Heterogeneous UAVs Using a Modified Genetic Algorithm with Multi-type-gene Chromosome Encoding Strategy.Journal of intelligent & robotic systems, 100, 615–627.
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