王涛

副教授

E-mail：wangt339@mail.sysu.edu.cn

研究方向：智能自主无人系统、精确制导与控制、态势感知与认知决策、飞行器故障诊断与健康管理等

教师简介

王涛，博士，副教授，博士生导师，9227新葡的京集团“百人计划”引进人才，深圳市孔雀计划特聘岗B类。负责多域无人系统认知智能控制技术实验室，南方海洋科学与工程广东省实验室智能海洋无人装备创新团队核心成员，9227新葡的京集团人工智能研究院集群智能研究中心兼职。主要从事水/地面、空中、空间等智能无人系统相关感知认知、任务规划与决策控制技术研究，重视多学科交叉融合的应用基础研究。曾任职中国运载火箭技术研究院，长期从事飞行器导航制导与控制系统研究工作。

发表各类高水平SCI期刊和国内外会议论文总计60余篇，申请及授权发明专利36项，获省部级科技奖励4项，2次获得航天一院长征贡献奖，任IEEE Member、中国自动化学会高级会员(2024年)、自动化学会混合智能专委会委员/系统仿真专委会/导航制导与控制专委会委员、中国指挥与控制学会集群智能与协同控制专委会/智能博弈与兵棋推演专委会/大模型与决策智能专委会/无人系统专委会/低空经济产业工作委员会委员，是IEEE TNNLS、IEEE TAES、IEEE RAL、Robotics and Autonomous Systems、Biomimetic Intelligence and Robotics等高水平期刊审稿人。

电子邮箱：wangt339@mail.sysu.edu.cn 深圳校区工2-806/804

教育背景

2000.09-2004.07 西北工业大学 航天学院 探测制导与控制 工学学士

2004.09-2007.04 北京航空航天大学 仪器光电学院 精密仪器及机械 工学硕士

2007.05-2011.12 西安交通大学 人工智能与机器人研究所 控制科学与工程 工学博士

研究方向

智能自主无人系统、飞行器精确制导与控制、态势感知与认知决策、装备体系智能化技术、飞行器故障诊断与健康管理等

欢迎有志于从事智能自主无人系统认知智能应用基础研究的同学报考硕士研究生和博士研究生，招生专业包括自动化、计算机科学与技术、电子信息工程、通信工程、应用数学、机械及自动化等。科研任务饱满，经费充足，各项保障条件优良并提供多样化科研学习模式，常年招收博士后以及专职科研人员，欢迎联系咨询加入课题组。请关注实验室公众号CCCLab。

科研及教学

作为负责人先后主持承担领域基金重点项目、前沿创新、十三五装备预研、国家自然基金、某重大专项工程以及预研型号等项目20多项，总经费四千多万元。

讲授课程

飞行器概论、无人系统导论、 认知科学基础、 传感器技术及信息融合、 工业人工智能

代表性论著

  1. Yang, B.; Wang, T.; Li, B.; Zhan, Q.; Wang, F. Real-Time Trajectory Prediction for Rocket-Powered Vehicle Based on Domain Knowledge and Deep Neural Networks[J]. Aerospace2025, 12, 760. https://doi.org/10.3390/aerospace12090760（SCI JCR Q2 IF=2.4）
  2. B. Yang, T. Wang, B. Li, F. Luo and C. Gao, A Vehicle-Target Assignment Framework: Collaborative Missions of Multiple High-Speed Flight Vehicles With Multiple Targets[J], IEEE Transactions on Aerospace and Electronic Systems,2025  Early Access, doi: 10.1109/TAES.2025.3595106.（中科院二区SCI TOP IF=5.7）
  3.  王涛,谢添乐,唐勇,张强,许新爽,高琛.认知模型驱动的无人机集群混合智能协同决策方法研究[J].无人系统技术,2025,v.8(03):109-121.DOI: 10.19942/j.issn.2096-5915.2025.03.28
  4. Yang Bingsan, Cao Jingshuai, Hu Jiaxin, T. Wang*. A Deep Learning-based Method for Target Assignment[C], 23rd IFAC Symposium on Automatic Control in Aerospace, Harbin, China, 2-6 Aug, 2025. (CAA A类会议，已录用)
  5. Xue Yuyang, Li Bin, T. Wang*. A Deep Neural Network-Based Intelligent Evaluation Method for Space Target Group Value[C], 23rd IFAC Symposium on Automatic Control in Aerospace, Harbin, China, 2-6 Aug, 2025. (CAA A类会议，已录用)
  6. Y. Xue, Y. Huang, T. Li, T. Wang* and H. Wang, A Dynamic Evolution Value Assessment Scheme for Maritime Target Groups Based on Attention Mechanism and Hybrid Quantification Methods[J],  IEEE Transactions on Aerospace and Electronic Systems, doi: 10.1109/TAES.2025.3570292. （中科院二区SCI TOP IF=5.7）
  7. 曹敬帅, 王涛*，杨丙三. 信息非完备下多飞行器协同突防打击方法[J]. 宇航学报. 2025.5 (EI 已录用)
  8. Xie F, Yang D, Yang Y, Wang T, Zhang K. Infrared Small Target Detection Using Directional Derivative Correlation Filtering and a Relative Intensity Contrast Measure. Remote Sensing. 2025; 17(11):1921. https://doi.org/10.3390/rs17111921（中科院二区 SCI JCR Q1 IF=4.8）
  9. Ding, L.; Tang, Y.; T. Wang*; Xie, T.; Huang, P.; Yang, B. A Cooperative Decision-Making Approach Based on a Soar Cognitive Architecture for Multi-Unmanned Vehicles[J]. Drones 2024, 8, 155. （中科院二区SCI IF=4.4）
  10. Huang, P.; Tang, Y.; Yang, B.; T. Wang*. Research on Scenario Modeling for V-Tail Fixed-Wing UAV Dynamic Obstacle Avoidance[J]. Drones 2023, 7, 601. （中科院二区SCI IF=4.4）
  11. Chen F, Tang Y, Li N, Wang T*, Hu Y. A Study of Collaborative Trajectory Planning Method Based on Starling Swarm Bionic Algorithm for Multi-Unmanned Aerial Vehicle[J]. Applied Sciences. 2023; 13(11):6795.（SCI IF=2.838 JCR Q2）
  12. F. Chen, W. Xue, Y. Tang, T. Wang*. A Comparative Research of Control System Design based on h-infinity and ALQR for the Liquid Rocket Engine of Variable Thrust[J]. International Journal of Aerospace Engineering, vol. 2023, 2023. (SCI IF=1.198 JCR Q3) 
  13. Huang, S., Wang, T.*, Tang, Y., Hu, Y., Xin, G., Zhou, D. Distributed and Scalable Cooperative Formation of Unmanned Ground Vehicles Using Deep Reinforcement Learning[J]. Aerospace 2023, 10, 96. (SCI IF=2.66 JCR Q1)
  14. Wang T*, Ding L, Yu H. Research and Development of Fault Diagnosis Methods for Liquid Rocket Engines[J]. Aerospace. 2022; 9(9):481. (SCI IF=2.66 JCR Q1)
  15. Huang P, Wang T*, Ding L, Yu H, Tang Y, Zhou D. Comparative Analysis of Real-Time Fault Detection Methods Based on Certain Artificial Intelligent Algorithms for a Hydrogen–Oxygen Rocket Engine[J]. Aerospace. 2022; 9(10):582. (SCI IF=2.66 JCR Q1)
  16. Huang P, Yu H, Wang T*. A Study Using Optimized LSSVR for Real-Time Fault Detection of Liquid Rocket Engine[J]. Processes. 2022; 10(8):1643.（SCI IF= 3.352 JCR Q2）
  17. Y. Fang, L. Zhang*, Sh. Wei, T. Wang*, J. Wu.Online Frequency-Agile Strategy for Radar Detection Based on Constrained Combinatorial Nonstationary Bandit[J]. IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 2, pp. 1693-1706, April 2023. (中科院Top, JCR Q1 IF=3.491) 
  18. 许亮, 王鹿洋, 万自明, 赵世伟, 周立业, 王涛*. 不同高度对0°~15°攻角气动光学成像偏移的影响[J]. 红外与激光工程, 2023, 52(5): 20220671. (EI)
  19. 唐勇, 周典乐, 王涛*. 内外源注意的无人系统智能感知应用研究[J]. 计算机测量与控制. 2022,30(8):283-288.
  20. Yu, H.; Wang, T.* A Method for Real-Time Fault Detection of Liquid Rocket Engine Based on Adaptive Genetic Algorithm Optimizing Back Propagation Neural Network[J]. Sensors 2021, 21, 5026.（JCR Q1, SCI IF=3.576）
  21. 王涛*, 郭欢祺, 余华煌. 基于组织行为学的跨域协同机理研究[J]. 无人系统技术, 2021, 4(4):22-29.
  22. 王涛. 火星探测陆空协同无人系统的研究发展分析[J]. 无人系统技术. 2020, 5(3)：1-8.
  23. Liu, B., Rao, Z., Gao, C., Yang, B., T. Wang*. (2025). Methods for Formation Control and Path Planning for UAVs and UGVs Swarm. In: Liu, L., Niu, Y., Fu, W., Qu, Y. (eds) Proceedings of 4th 2024 International Conference on Autonomous Unmanned Systems (4th ICAUS 2024). ICAUS 2024. Lecture Notes in Electrical Engineering, vol 1379. Springer, Singapore. （EI）
  24. X. Ma, T. Wang*, C. Gao and Z. Rao, Global and Local Fusion Method for Path Planning and Formation Control of Multiple Unmanned Systems, 2024 International Conference on Cyber-Physical Social Intelligence (ICCSI), Doha, Qatar, 2024, pp. 1-6。（EI）
  25. Xie, T., T. Wang*, Gao, C., Luo, F., Rao, Z. (2025). Modeling Unmanned Cluster Mission Planning Based on Data Fusion and Knowledge Inference. In: Liu, L., Niu, Y., Fu, W., Qu, Y. (eds) Proceedings of 4th 2024 International Conference on Autonomous Unmanned Systems (4th ICAUS 2024). ICAUS 2024. Lecture Notes in Electrical Engineering, vol 1379. Springer, Singapore. （EI）
  26. Fangyou Luo, T. Wang*, Chen Gao, Zihao Rao, and Bo Liu. 2024. Distributed Formation Coordinated Control of Multiple Unmanned Surface Vehicles Based on Deep Reinforcement Learning. In Intelligent Robotics and Applications: 17th International Conference, ICIRA 2024, Xi’an, China, July 31 – August 2, 2024, Proceedings, Part II. Springer-Verlag, Berlin, Heidelberg, 334–348.（EI）
  27. Fei Wang, Hongrun Wang, Dianle Zhou, and T. Wang*. 2024. Homogeneous Multi-robot Patrolling Based on Humanoid Formation Configuration. In Intelligent Robotics and Applications: 17th International Conference, ICIRA 2024, Xi’an, China, July 31 – August 2, 2024, Proceedings, Part II. Springer-Verlag, Berlin, Heidelberg, 403–417.
  28. H. Wang, T. Wang*, N. Li, L. Ding and T. Xie, Research on Cognitive Mining Method of Ship Formation Behavior Law Based on Knowledge Graph and Fuzzy Association Logic, 2023 China Automation Congress (CAC), Chongqing, China, 2023, pp. 8150-8155,
  29. Xie, T., Li, N., Wang, H., Ding, L., T. Wang*, Yang, Y. (2024). Research on Construct and Relation Reasoning Method Based on Knowledge Graph. In: Li, X., Song, X., Zhou, Y. (eds) Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control. CCSICC 2023. Lecture Notes in Electrical Engineering, vol 1207. Springer,（EI）
  30. Xu, L., Zhao, S., Xue, W., Wang T.. Computation and analysis of aero-optic imaging deviation of a blunt nosed aircraft with Mach number 0.5–3[J]. Optoelectron. Lett. Vol.19, 55–59 (2023). (ESCI/EI)
  31. Fayin Chen，Yong Tang，Yiwen Hu，Tao Wang*. An optimized flocking starling algorithm for autonomous drones[C]. Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). Lecture Notes in Electrical Engineering, vol 1010. Springer, Singapore.pp 3548–3555.
  32. Fei Wang, Shichun Huang, Yong Tang, and Tao Wang*. Research on Formation and Path Planning Method of Isomorphic Multi-Unmanned Ground System Based on Humanoid Formation Configuration[C]. Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). Lecture Notes in Electrical Engineering, vol 1010. Springer, Singapore.pp 2577–2590.
  33. H. Yu, T. Wang* and Y. Tang, A Method Using Quantum Genetic Algorithm optimized BP Neural Network of Real-time Fault Detection for the Liquid Rocket Engine[C]. 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing), 2021, pp. 1-6, doi: 10.1109/PHM-Nanjing52125.2021.9613130. 

学术专著：

     1、王涛、唐勇、薛薇，多域无人系统智能协同认知控制技术，哈尔滨工业大学出版社, 17万字，2025

     2、T. Wang. Invited Chapter: Computational Modeling for Predicting the Optical Distortions through the Hypersonic Flow Fields[M]. in Numerical Simulation. London, United Kingdom: IntechOpen, 2022 [Online]. DOI: 10.5772/intechopen.106591

学术兼职

中国计算机自动测量与控制技术协会理事

《无人系统技术》理事

《计算机测量与控制》编委

《无人系统技术》编委

《Biomimetic Intelligence and Rbootics》青年编委

Reviewer Board for Journal of Human Cognition

XX未来实验室专家委员会 专家