Learning safe and decentralized flight for aerial swarms in dynamic complex environmentsOA
Learning safe and decentralized flight for aerial swarms in dynamic complex environments
Fang DENG;Qiang WANG;Xinrui XIE;Jie CHEN;Maobin LU
School of AI,Beijing Institute of Technology,Beijing 100081,China||Beijing Institute of Technology,Zhuhai 519088,ChinaSchool of Automation,Beijing Institute of Technology,Beijing 100081,ChinaSchool of Automation,Beijing Institute of Technology,Beijing 100081,ChinaSchool of Automation,Beijing Institute of Technology,Beijing 100081,ChinaBeijing Institute of Technology,Zhuhai 519088,China||School of Automation,Beijing Institute of Technology,Beijing 100081,China
Swarm navigationPerception and autonomyReinforcement learningNonlinear model predictive controlFlight control systemMicro aerial vehicles(MAVs)
Swarm navigationPerception and autonomyReinforcement learningNonlinear model predictive controlFlight control systemMicro aerial vehicles(MAVs)
《中国航空学报（英文版）》 2026 (7)
22-37,16
This work was supported by the National Science and Tech-nology Major Project of China(No.2022ZD0119701),by the National Natural Science Foundation of China(Nos.U25A20467,62373058),by the Beijing Natural Science Foun-dation,China(No.L233003),and by the Basic Science Center Programs of NSFC,China(No.62088101).
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