Abstract
In nature, in order to hunt prey more efficiently, animals often adopt the method of group cooperation. By analyzing the similarity between the behavior of biological clusters and the control of unmanned aerial vehicle (UAV) clusters, this paper proposes a distributed hunting algorithm based on the hunting behavior of wolves to solve the target hunting problem in the cooperative combat of UAV clusters. Firstly, the chase and escape model of UAV is established, and the escape mode of the target is designed according to the artificial potential field method. Secondly, the hunting strategy of UAV clusters is determined by imitating the behavior characteristics of wolves during hunting. Finally, it is verified by simulation experiment. In this paper, the simulation hunting environment and multi-agent reinforcement learning environment are respectively verified, the UAV clusters can realize the target hunting, which proves the effectiveness of the algorithm.
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Wang, T., Wang, J., Ouyang, M., Tai, Y. (2023). UAV Target Roundup Strategy Based on Wolf Pack Hunting Behavior. In: Sun, Y., et al. Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2022. Communications in Computer and Information Science, vol 1681. Springer, Singapore. https://doi.org/10.1007/978-981-99-2356-4_40
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DOI: https://doi.org/10.1007/978-981-99-2356-4_40
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