Tong Heng Lee
Papers
39
Total Citations
1,193
H-Index
18
About
Tong Heng Lee is a distinguished researcher whose work spans advanced control systems, robotics, and intelligent automation. His contributions have significantly shaped the fields of sliding-mode control, fuzzy logic systems, iterative learning control, and adaptive neural network-based robotics. Lee is perhaps best recognized for his pioneering application of control methodologies to underactuated robotic platforms. His 2013 paper introducing integral sliding-mode control on a two-wheeled mobile robot — the first such implementation of its kind — has garnered over 316 citations, underscoring its foundational influence. His complementary work on Takagi-Sugeno fuzzy logic controllers for the same platform (115 citations) demonstrates his systematic approach to validating diverse control strategies on complex, inherently unstable systems. Beyond mobile robotics, Lee has made notable contributions to adaptive control of robotic manipulators with motion constraints, data-driven multiobjective optimization for nanopositioning systems, and optimal critic learning for time-varying environments. His 2008 monograph on real-time iterative learning control further established his authority in learning-based control design. With research spanning over two decades — from evolutionary artificial potential field navigation to socially aware mobile robot learning — Lee's cumulative body of work reflects both theoretical rigor and practical impact across intelligent robotics and control engineering.
Research Focus
Key Achievements
Top Papers
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- 3Real-time Iterative Learning Control: Design and Applications74 citations · 2008
- 4Adaptive Control of Robotic Manipulators With Unified Motion Constraints67 citations · 2016
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- 8Optimal Critic Learning for Robot Control in Time-Varying Environments45 citations · 2015
- 9
- 10Role playing learning for socially concomitant mobile robot navigation42 citations · 2018