1. Educational Background (in reverse chronological order)：

• Sep. 2013–Feb. 2017: City University of Hong Kong, Mechanical and Biomedical Engineering, Ph.D. (Full-time)
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• Sep. 2010–June 2013: Xiamen University, Control Engineering, Master of Engineering (Full-time)
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• Sep. 2006–June 2010: Southwest Jiaotong University, Electrical Engineering and Automation, Bachelor of Engineering (Full-time)

2. Work Experience (in reverse chronological order)：

• Aug. 2023–Present: Institute of Artificial Intelligence, Xiamen University, Xiamen, China, Professor
• Dec. 2019–July 2023: Department of Automation, Xiamen University, Xiamen, China, Associate Professor
• Jan. 2018–Nov. 2019: Department of Automation, Shanghai Jiao Tong University, Shanghai, China, Assistant Professor
• March 2017–Jan. 2018: The Chinese University of Hong Kong (Shenzhen), Shenzhen,  China, Senior Researcher

Xiao Yu, Professor and Doctoral Supervisor at the Institute of Artificial Intelligence, Xiamen University. He received his Ph.D. degree from City University of Hong Kong in 2017. His primary research areas include control theory, robotics, formal methods, and embodied AI. He has led 10 research projects, including a project under the National Science and Technology Major Project on New Generation Artificial Intelligence, two General Programs from the National Natural Science Foundation of China (NSFC), and the Fujian Provincial Natural Science Foundation for Distinguished Young Scholars. As the first or corresponding author, he has published over 30 journal papers in prestigious control theory journals such as IEEE Transactions on Automatic Control and Automatica. He led his team to win the championship in the Cooperative Aerial Robots Inspection Challenge at IROS 2024. Cooperation in automation, robotics, and AI and applications from outstanding students are welcome.

1. Representative Publications (past 5-10 years, in order of impact)：

Zheng Y, Lai A, Lan W, Yu X*, Su R. Enforcement of opacity for interval weighted discrete-event system by supervisory control. IEEE Transactions on Automatic Control, 2026 (SCI Q1, DOI: 10.1109/TAC.2025.3611993)

Ma J, Yu X*, Lan W, Chen Z. Output regulation of linear stochastic systems with unstable linear exogenous systems. IEEE Transactions on Automatic Control, 2025, 70(1): 65-80 (SCI Q1, DOI: 10.1109/TAC.2024.3419819)

Xie K, Zheng Y, Jiang Y, Lan W, Yu X*. Optimal dynamic output feedback control of unknown linear continuous-time system by adaptive dynamic programming. Automatica, 2024, 163: 111601 (SCI Q1, DOI: 10.1016/j.automatica.2024.111601)

Yu X*, Su R. Decentralized circular formation control of nonholonomic mobile robots under a directed sensor graph. IEEE Transactions on Automatic Control, 2023, 68(6): 3656-3663 (SCI Q1, DOI: 10.1109/TAC.2022.3194096)

Xie K, Yu X*, Lan W. Optimal output regulation for unknown continuous-time linear systems by internal model and adaptive dynamic programming. Automatica, 2022, 146: 110564 (SCI Q1, DOI: 10.1016/j.automatica.2022.110564)

Yu X, Liu L, Feng G. Distributed circular formation control of nonholonomic vehicles without direct distance measurements. IEEE Transactions on Automatic Control, 2018, 63(8): 2730-2737 (SCI Q1, DOI: 10.1109/TAC.2018.2790259)

Yu X, Xu X, Liu L, Feng G. Circular formation of networked dynamic unicycles by a distributed dynamic control law. Automatica, 2018, 89: 1-7 (SCI Q1, DOI: 10.1016/j.automatica.2017.11.032)

Yu X, Liu L. Cooperative control for moving-target circular formation of nonholonomic vehicles. IEEE Transactions on Automatic Control, 2017, 62(7): 3448-3454 (SCI Q1, DOI: 10.1109/TAC.2016.2614348)

Yu X, Liu L. Distributed circular formation control of ring-networked nonholonomic vehicles. Automatica, 2016, 68: 92-99 (SCI Q1, DOI: 10.1016/j.automatica.2016.01.056)

Huang S, Zeng H, Lan W, Yu X*. Leader-follower formation tracking control of mobile robots: A visual observer-based approach. IEEE Transactions on Control Systems Technology, 2025, 33(5): 1937-1945 (SCI Q1, DOI: 10.1109/TCST.2025.3546695)

Chen X, Yu X*, Ji R. Hierarchical exploration of mobile robots by unknown region division with multiple environment representations. IEEE Robotics and Automation Letters, 2025, 10(10): 9790-9797 (SCI Q1, DOI: 10.1109/LRA.2025.3597483)

Zhao J, Zhu K, Hu H, Yu X*, Li X, Wang H. Formation control of networked mobile robots with unknown reference orientation. IEEE/ASME Transactions on Mechatronics, 2023, 28(4): 2200-2212 (SCI Q1, DOI: 10.1109/TMECH.2022.3231079)

Zhao J, Li X, Yu X*, Wang H. Finite-time cooperative control for bearing-defined leader-following formation of multiple double-integrators. IEEE Transactions on Cybernetics, 2022, 52(12): 13363-13372 (SCI Q1, DOI: 10.1109/TCYB.2021.3124827)

Yu X*, Ding N, Zhang A, Qian H. Cooperative moving-target enclosing of networked vehicles with constant linear velocities. IEEE Transactions on Cybernetics, 2020, 50(2): 798-809 (SCI Q1, DOI: 10.1109/TCYB.2018.2873904)

Yu X, Liu L. Distributed formation control of nonholonomic vehicles subject to velocity constraints. IEEE Transactions on Industrial Electronics, 2016, 63(2): 1289-1298 (SCI Q1, DOI: 10.1109/TIE.2015.2504042)

2. Patents：

A Method for Eliminating Vehicle Collisions in the Running Results of Optimal Path Algorithms, ZL202110749386.6, 2022, First Inventor

Optimization Control Method, System and Device for Agent Clusters with Uncertain Packet Loss, ZL202111427401.1, 2024, First Inventor

A Multi-Agent Formation Control Method Based on Local Bearing Information, ZL202210243165.6, 2024, First Inventor

A Trajectory Tracking Method, ZL202211694864.9, 2025, First Inventor

A Multi-UAV Building Detection Method Based on Heuristic Sampling and Clustering Partition, ZL202510922427.5, 2025, First Inventor

An Online Parameter Adjustment Method for UAV System Controllers, ZL202410989505.9, 2025, First Inventor

Monocular Self-Supervised Depth Estimation Method Based on Moving Object Mask, Electronic Device and Storage Medium, ZL202411189121.5, 2025, First Inventor