About

Weidong Chen is a distinguished robotics and control systems researcher whose work spans visual servoing, multi-robot formation control, and soft robotics. His research has fundamentally advanced how robots perceive and interact with their environments, particularly through uncalibrated camera-based control strategies that eliminate the need for precise sensor calibration or direct position measurements — a significant practical breakthrough for real-world deployment. Chen's contributions to vision-based control are especially notable. His adaptive controllers for wheeled mobile robots and robotic manipulators enable accurate trajectory tracking and formation coordination using raw image data alone, removing longstanding dependencies on velocity measurements and calibrated cameras. This work, accumulating hundreds of citations across multiple papers, has reshaped approaches to mobile robot formation control and visual tracking. Equally impactful is his pioneering research in soft robotics. His development of cable-driven soft robotic manipulators and their associated adaptive visual servo controllers — applied even to constrained surgical environments in cardiothoracic endoscopic procedures — demonstrates a rare bridge between theoretical control design and life-critical medical applications. With a body of work exceeding 1,000 combined citations, Chen stands as a leading voice in intelligent, adaptive robotic systems with profound implications for both industrial automation and surgical robotics.

Research Focus

Key Achievements

33
H-Index
166
Papers
3,553
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Visual Servoing of Soft Robot Manipulator in Constrained Environments With an Adaptive Controller
204 citations · 2016
📈 Most Prolific Year: 2016 (16 Papers)
🤝 Key Collaborators: 218
🏛 Institutions: Shanghai Jiao Tong University, Ministry of Education of the People's Republic of China, Nanjing University of Aeronautics and Astronautics, Harbin Institute of Technology, Zhejiang University, Harbin Engineering University

Top Papers

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Key Collaborators

Contact & Links

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