科 系：人工智能系
学历职称：博士/讲师/硕士生导师
联系方式：fhuang@hainanu.edu.cn
通讯地址：海南大学太阳成集团tyc7111cc414办公室
基本情况：黄飞，博士，讲师，硕士生导师，海南省E类高层次人才。
研究方向：
1. 无人水下航行器（UUV）协同决策、协同控制、运动控制
2. 基于学习的决策与控制（深度强化学习）
学习和工作经历：
2024年07月 - 至今 海南大学太阳成集团tyc7111cc 讲师
2018年09月 - 2024年06月 哈尔滨工程大学 控制科学与工程 工学博士（硕博连读）
代表性学术成果：
[1] Huang F, Xu J*, Wu D, et al. A general motion controller based on deep reinforcement learning for an autonomous underwater vehicle with unknown disturbances[J]. Engineering Applications of Artificial Intelligence, 2023, 117: 105589. (SCI，中科院2区TOP)
[2] Huang F, Xu J*, Yin L, et al. A general motion control architecture for an autonomous underwater vehicle with actuator faults and unknown disturbances through deep reinforcement learning[J]. Ocean Engineering, 2022, 263: 112424. (SCI，中科院2区TOP)
[3] Xu J, Huang F*, Wu D, et al. Deep reinforcement learning based multi-AUVs cooperative decision-making for attack–defense confrontation missions[J]. Ocean Engineering, 2021, 239: 109794. (SCI，中科院2区TOP)
[4] Xu J, Huang F*, Wu D, et al. A learning method for AUV collision avoidance through deep reinforcement learning[J]. Ocean Engineering, 2022, 260: 112038. (SCI，中科院2区TOP)
[5] Xu J, Huang F*, Wu D, et al. A general motion control framework for an autonomous underwater vehicle through deep reinforcement learning and disturbance observers[J]. Journal of the Franklin Institute, 2023, 360(8): 5728-5758. (SCI，中科院2区)
[6] Xu J, Huang F*, Cui Y, et al. Multi-objective path planning based on deep reinforcement learning[C]. 41th Chinese Control Conference, 2022: 3273-3279. (EI)
已授权发明专利：
[1] 严浙平，黄飞，吴迪等. 水下无人航行器集群仿真平台[P]. ZL201910311092.8, 2022-07-15. (已授权)
获奖情况：
[1] 博士研究生国家奖学金
