姓名：闫超          性别：男          职务：

职称：特聘副研究员    导师类别：         办公室：ylzzcom永利总站线路检测2-515

研究领域：深度强化学习、多智能体强化学习、无人机集群协同控制

电话：13852035093                    Email：yanchao@nuaa.edu.cn

个人简介：

闫超，男，江苏沛县人，2023年12月博士毕业于国防科技大学智能科学学院，次年加入ylzzcom永利总站线路检测。主要从事固定翼无人机集群强化学习协同控制方向的研究工作，在IEEE TNNLS、IEEE TII、IEEE TWC、IEEE TIV、IEEE TCDS、IEEE/RSJ IROS、《航空学报》《控制理论与应用》等国内外知名学术期刊或会议发表学术论文30余篇，申请/授权国家发明专利10余项。

教育经历

2013.09－2017.06，中国矿业大学， 电气工程及其自动化，学士

2017.09－2019.12，国防科技大学， 控制科学与工程，硕士

2020.03－2023.12，国防科技大学， 控制科学与工程，博士

2021.12－2022.12，南洋理工大学，控制科学与工程，联合培养

学术成果

[1] Yan C, Wang C, Xiang X, Low K H, Wang X, Xu X, Shen L. Collision- avoiding flocking with multiple fixed-wing UAVs in obstacle-cluttered environments: A task-specific curriculum-based MADRL approach[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023. DOI: 10.1109/TNNLS.2023.3245124.

[2] Yan C, Xiang X, Wang C, Li F, Wang X, Xu X, Shen L. Population- specific curriculum-based MADRL for collision-free flocking with large-scale fixed-wing UAV swarms[J]. Aerospace Science and Technology, 2023, 133:108091.

[3] Yan C, Wang C, Xiang X, Lan Z, and Jiang Y. Deep reinforcement learning of collision-free flocking policies for multiple fixed-wing UAVs using local situation maps[J]. IEEE Transactions on Industrial Informatics, 2022, 18(2): 1260-1270.

[4] Yan C, Xiang X, Wang C. Fixed-wing UAVs flocking in continuous spaces: A deep reinforcement learning approach[J]. Robotics and Autonomous Systems, 2020, 131: 103594.

[5] Yan C, Xiang X, Wang C. Towards real-time path planning through deep reinforcement learning for a UAV in dynamic environments[J]. Journal of Intelligent & Robotic Systems, 2020, 98(2): 297-309. (封面论文)

[6] Yan C, Low K H, Xiang X, Hu T, and Shen L. Attention-based population- invariant deep reinforcement learning for collision-free flocking with a scalable fixed-wing UAV swarm[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022: 13730-13736.

[7] Yan C, Xiang X, Wang C, Lan Z. Flocking and collision avoidance for a dynamic squad of fixed-wing UAVs using deep reinforcement learning [C]//IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2021: 4738-4744.

[8] 闫超, 相晓嘉, 徐昕, 王菖, 周晗, 沈林成. 多智能体深度强化学习及其可扩展性与可迁移性研究综述[J]. 控制与决策, 2022, 37(12): 3083-3102. (封面论文, 当年热文)

[9] 相晓嘉，闫超*，王菖, 尹栋. 基于深度强化学习的固定翼无人机编队协调控制方法[J]. 航空学报, 2021, 42(4): 524009. (高影响力论文)