A Formation Control Deep Reinforcement Learning Model Based on MAPPO Algorithm for Unmanned Ground Vehicles

Author:

Wang Yiquan,Yang Yu,Wang Jingguo,Li Zhaodong,Zhao Xijun

Publisher

Springer Nature Singapore

Reference15 articles.

1. Zhiqiang, Z., Fang, D., Guopeng, S., et al.: Summary of research on path planning algorithm of unmanned vehicle. In: 2022 Unmanned Systems Summit, 035500 (2022)

2. Haifeng, J.: Formation and path planning of multiple unmanned vehicles. Masters thesis, Dalian University of Technology, 002825 (2021)

3. Shifeng, W., Xiang, D., Ning, X., et al.: Overview on environment perception technology for unmanned ground vehicle. J. Changchun Univ. Sci. Technol. 40(01), 1–6 (2017)

4. Jing, Z., You, H., Yingning, P., et al.: Neural network and artificial potential field based cooperative and adversarially path planning. Acta Aeronautica et Astronautica Sinica 40(3), 228–238 (2019)

5. Dalfior, J., Vassallo, R.: Nonlinear formation control for a cooperative load pushing. In: IEEE International Conference on Industrial Technology, pp. 1439–1444 (2010)

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