Shuzhi Sam Ge
National University of Singapore, Qingdao University, University of Electronic Science and Technology of China, The University of Texas at Arlington, Robotics Research (United States), University of Leicester, Media Development Authority, Qatar University, Agency for Science, Technology and Research, Beihang University, Pusan National University, Technion – Israel Institute of Technology, Centre de Robotique, Singapore University of Social Sciences, Sharif University of Technology
Papers
251
Total Citations
11,357
H-Index
47
About
Shuzhi Sam Ge is a pioneering researcher in robotics, autonomous systems, and intelligent control, whose work has fundamentally shaped how machines navigate, learn, and collaborate with humans. Over three decades, Ge has made landmark contributions across mobile robot path planning, adaptive neural network control, and multi-robot coordination. His 2000 and 2002 papers on potential field methods for mobile robot navigation—together accumulating over 1,600 citations—resolved a critical limitation known as the "goal unreachable with obstacles nearby" problem, introducing repulsive potential functions that remain foundational in the field. His 1998 monograph on adaptive neural network control of robotic manipulators (622 citations) established a rigorous framework for intelligent robot learning that continues to influence both academia and industry. Ge's research further extends to fault-tolerant control using advanced sliding mode techniques, human-robot collaboration through motion intention estimation, and underwater vehicle formation control, reflecting remarkable breadth. His work on rehabilitation robotics underscores a commitment to socially meaningful applications. With multiple papers exceeding 400 citations and a cumulative citation record in the thousands, Ge stands as one of the most impactful figures in modern robotics and intelligent control systems.
Research Focus
Key Achievements
Top Papers
- 1New potential functions for mobile robot path planning847 citations · 2000
- 2Dynamic Motion Planning for Mobile Robots Using Potential Field Method785 citations · 2002
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- 4Adaptive Neural Network Control of Robotic Manipulators622 citations · 1998
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- 8Human–Robot Collaboration Based on Motion Intention Estimation311 citations · 2013
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- 10Neural Network Control of a Rehabilitation Robot by State and Output Feedback253 citations · 2014