Lu Bin Lau
Papers
1
Total Citations
7
H-Index
1
About
Lu Bin Lau is a robotics and control systems researcher whose work focuses on the modeling and stabilization of underactuated, nonlinear dynamical systems. His most cited paper, "Self-balancing robot: modeling and comparative analysis between PID and linear quadratic regulator" (2023), has garnered 7 citations and provides a rigorous comparative study of classical and optimal control strategies for two-wheeled self-balancing robots (TWSBR). In this work, Lau addresses the inherent instability and nonlinearity of TWSBRs, offering practical insights into hardware implementation—a challenge with no unique solution. By systematically evaluating PID and LQR controllers, he contributes to the broader understanding of real-time control for mobile robotics. His research is valuable for students and engineers seeking to bridge theoretical control design with physical deployment. Lau’s work underscores the importance of comparative analysis in selecting robust control methods for unstable systems, making him a notable voice in the field of autonomous robotics and mechatronics.
Research Focus
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Top Papers
- 1