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Ning Sun

Professor

Center for Embodied Artificial Intelligence and Computer Vision

Education Background

Educational Background :

2009-2014: Nankai University, Control Theory and Control Engineering, Doctoral Degree (Full-time)

2005-2009: Wuhan University, Measurement & Control Technology and Instruments, Bachelor’s Degree (Full-time)

Work Experience :

2022-Present: Shenzhen Research Institute of Nankai University, Professor

2019-Present: College of Artificial Intelligence, Nankai University, Professor

2018-2019: Okayama Prefectural University, Visiting Scholar

2018-2019: College of Artificial Intelligence, Nankai University, Associate Professor

2016-2018: College of Computer and Control Engineering, Nankai University, Associate Professor

2014-2016: College of Computer and Control Engineering, Nankai University, Lecturer

Research Fields
1.Intelligent Robots, Intelligent Control,2.Intelligent Equipment and Industrial Automation, Bionic Robotics and Advanced Actuation, Integration of Artificial Intelligence and Robotics
Personal Website
https://url.nankai.edu.cn/
Email
ningsun@slai.edu.cn
Biography

Ning Sun, PhD, is a Professor and Doctoral Supervisor at the Shenzhen Research Institute of Nankai University and the College of Artificial Intelligence, Nankai University. He received his PhD in Control Theory and Control Engineering from Nankai University and was a visiting scholar at Okayama Prefectural University, Japan. His research focuses on intelligent robotics. He has presided over 2 Key Programs of the National Natural Science Foundation of China, and 2 Projects of the National Key Research and Development Program of China. He has published over 90 papers in IEEE Transactions. Outstanding students with backgrounds in control engineering, robotics and artificial intelligence are welcome to apply for collaboration and postgraduate studies.

Academic Publications

Hosted Projects:

[1] 2026-2030: Brain-inspired Intelligent Decision-Making, Navigation, and Control for Underactuated Bionic Fish Robots, National Natural Science Foundation of China-Key Program, No.62533014, Principal Investigator

[2] 2021-2024: Intelligent Perception, Collaborative Optimization, and Control for Clustered Cranes in the Ubiquitous Information Environment, National Natural Science Foundation of China-Key Program, No.U20A20198, Principal Investigator

[3] 2019-2022: Robot Modeling and Precision Control for Dynamic Production Processes, Project of the National Key Research and Development Program of China, No.2018YFB1309003, Principal Investigator

[4] 2023-2026: Key Technologies for Intelligent Cooperative Operation Systems of Indoor Firefighting and Rescue Robot Swarms, Project of the National Key Research and Development Program of China, No.2023YFC3011004, Principal Investigator

[5] 2024-2027: Planning and Intelligent Control of Biomimetic Pneumatic Artificial Muscle Robots in Loose/Tight Coordination, National Natural Science Foundation of China-General Program, No.62373198, Principal Investigator

[6] 2019-2022: Key Control Technologies for Underactuated Tower Crane Systems, National Natural Science Foundation of China-General Program, No.61873134, Principal Investigator

Representative Publications :

[1] He Chen, Ning Sun, Nonlinear control of underactuated systems subject to both actuated and unactuated state constraints with experimental verification. IEEE Transactions on Industrial Electronics, 2020, 67(9): 7702-7714. (SCI Q1, DOI: 10.1109/TIE.2019.2946541)

[2] Tong Yang, Changda Fan, Yongchun Fang, Ning Sun, Adaptive learning control for time-varying parameter pneumatic artificial muscle robots with force/torque perturbation and input delays, IEEE Transactions on Control Systems Technology, 2025, 33(6): 2366-2377 (SCI Q2, DOI: 10.1109/TCST.2025.3593243)

[3] Shuzhen Diao, Gendi Liu, Tong Yang, Menghua Zhang, Yanding Qin, Wei Sun, Ning Sun, Finite-time synchronous motion control for pneumatic muscle-actuated parallel robots in Cartesian space, IEEE/ASME Transactions on Mechatronics, 2025, 30(3): 2389-2400 (SCI Q1, DOI: 10.1109/TMECH.2024.3454172)

[4] Meng Zhai, Tong Yang, Qingxiang Wu, Shudong Guo, Ruiping Pang, Ning Sun, Extended Kalman filtering-based nonlinear model predictive control for underactuated systems with multiple constraints and obstacle avoidance, IEEE Transactions on Cybernetics, 2025, 55(1): 369-382 (SCI Q1, DOI: 10.1109/TCYB.2024.3488371)

[5] Tong Yang, Ning Sun, Zhuoqing Liu, Yongchun Fang, Concurrent learning-based adaptive control of underactuated robotic systems with guaranteed transient performance for both actuated and unactuated motions, IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(12): 18133-18144 (SCI Q1, DOI: 10.1109/TNNLS.2023.3311927)

[6] Haoqi Tang, Qingxiang Wu, Zhuoqing Liu, Yongchun Fang, Ning Sun, Integral barrier function-based adaptive output feedback robust force control for pneumatic compliant end-effectors with complex hysteresis, IEEE Transactions on Industrial Electronics, 2025, 72(3): 2977-2986 (SCI Q1, DOI: 10.1109/TIE.2024.3433608)

[7] Xinlin Zhang, Ning Sun, Gendi Liu, Tong Yang, Yongchun Fang, Hysteresis compensation-based intelligent control for pneumatic artificial muscle-driven humanoid robot manipulators with experiments verification, IEEE Transactions on Automation Science and Engineering, 2024, 21(3): 2538-2551 (SCI Q1, DOI: 10.1109/TASE.2023.3263535)

[8] Tong Yang, Ning Sun, Meng Zhai, Yongchun Fang, Unactuated and actuated states simultaneously constrained optimal trajectory planning-based path-following control for underactuated robots, IEEE Transactions on Cybernetics, 2024, 54(9): 5127-5140 (SCI Q1, DOI: 10.1109/TCYB.2024.3361880)

[9] Tong Yang, Ning Sun, He Chen, Yongchun Fang, Neuroadaptive control for complicated underactuated systems with simultaneous output and velocity constraints exerted on both actuated and unactuated states, IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(8): 4488-4498 (SCI Q1, DOI: 10.1109/TNNLS.2021.3115960)

[10] Yue Wang, Tong Yang, Meng Zhai, Yongchun Fang, Ning Sun, Ship-mounted cranes hoisting underwater payloads: Transportation control with guaranteed constraints on overshoots and swing. IEEE Transactions on Industrial Informatics, 2023, 19(10): 9968-9978. (SCI Q1, DOI: 10.1109/TII.2022.3230706)

Books/Monographs:

[1] "Intelligent Control and Applications of Rotary Crane Robots", Science Press, 2024, Editor

[2] "Automatic Control of Mechatronic Systems: Design, Analysis and Applications of Control Methods for Underactuated Hoisting Systems", Science Press, 2022, Co-author

[3] "Measurement, Perception, Automation and Industrial Applications of Crane Robotic Systems", Harbin Institute of Technology Press, 2024, Co-author

Patents:

[1] A Three-Dimensional Deformable Soft Actuator, Its Fabrication Method, Control Method and System, ZL202310802326.5, 2025, First Inventor

[2] A Foldable-Arm Amphibious Quadrotor UAV, ZL202211422165.9, 2025, First Inventor

[3] A Crane Control Method, System, Medium, Device and Product, ZL202410674477.1, 2024, First Inventor

[4] A Flatness-Based Nonlinear Control Method and System for Crane Systems, ZL202410070854.0, 2024, First Inventor

[5] An Extended Kalman Filter-Based Model Predictive Control Method and System for Crane Systems, ZL202410176342.2, 2024, First Inventor

[6] A Fuzzy Adaptive Iterative Trajectory Tracking Control Method and System for Multi-DOF Manipulators, ZL202210138400.3, 2024, First Inventor

[7] A Robot Control System and Method Based on Joint Angle and Muscle Length Measurements, ZL202110384674.6, 2022, First Inventor

[8] A Grinding Method and System Based on Visual Recognition of Metal Ingot Grinding Information, ZL202110383788.9, 2022, First Inventor

[9] A Robot Trajectory Planning Method and System for the Ingot Dressing Process, ZL202110355446.6, 2022, First Inventor

[10] A Force/Position Hybrid Control Method and System for Grinding Robots with Error Constraints, ZL202110401790.4, 2022, First Inventor

Research Awards:

[1] 2022: Second Prize of the National Teaching Achievement Award in Higher Education (Undergraduate Education), Ministry of Education of the People’s Republic of China, Fourth Completed Person

[2] 2022: Baosteel Excellent Teacher Award, Baosteel Education Foundation, Awardee

[3] 2023: Second Prize of Tianjin Natural Science Award, Tianjin Municipal People’s Government, First Completed Person

[4] 2024: Second Prize of Tianjin Science and Technology Progress Award, Tianjin Municipal People’s Government, First Completed Person

[5] 2025: Youth Science and Technology Award of the Chinese Association of Automation (CAA), Chinese Association of Automation, Awardee

[6] 2025: Outstanding Young Scholar in Asia-Pacific Artificial Intelligence Education, Asia-Pacific Artificial Intelligence Association, Awardee

[7] 2021: IEEE Outstanding Paper Award for the IEEE Transactions on Industrial Electronics, IEEE IES Society, Corresponding Author

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