Papers
31
Total Citations
1,134
H-Index
16
About
Hak-Keung Lam is a prominent researcher whose work sits at the intersection of fuzzy logic, intelligent control systems, and robotics. With a career spanning over two decades, Lam has made substantial contributions to the design and optimization of fuzzy-model-based controllers for complex, uncertain nonlinear systems. His most cited work, "Singularity-Free Fixed-Time Fuzzy Control for Robotic Systems With User-Defined Performance" (2020, 310 citations), exemplifies his ability to tackle demanding real-world control challenges, introducing adaptive fuzzy fixed-time control strategies for multi-link robotic systems while guaranteeing user-defined performance constraints. Lam's research portfolio reveals a consistent focus on mobile robotics, continuum manipulators, and parallel robots, with notable contributions to path tracking, kinematic control, and force-position control schemes. His early work on fuzzy logic controllers for wheeled mobile robots and genetic-algorithm-optimized fuzzy controllers for nonlinear systems established foundational methods still referenced widely today. More recently, his exploration of deep recurrent neural networks for autonomous robotic palpation in surgical contexts highlights his engagement with cutting-edge medical robotics. Collectively, his publications reflect a researcher who bridges theoretical rigor with practical engineering impact, making his work an essential reference for students and practitioners in intelligent robotics and control systems.
Research Focus
Key Achievements
Top Papers
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- 2Proc. 2001 IEEE Int. Conf. Robotics and Automation (ICRA'2001)145 citations · 2001
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- 10Fuzzy model reference control of wheeled mobile robots27 citations · 2002