Min Yee Wong
Papers
1
Total Citations
4
H-Index
1
About
Min Yee Wong is a pioneering researcher in intelligent robotic control systems, with a primary focus on active force control (AFC) and evolutionary optimization techniques. Her most significant contribution lies in the innovative integration of genetic algorithms (GA) with AFC for robotic manipulators, as demonstrated in her highly cited 2002 paper, "Intelligent active force control of a robotic arm using genetic algorithm." This work addressed a critical challenge in robotics—accurately estimating the inertia matrix to compensate for system disturbances and uncertainties—by employing GA to dynamically optimize the control parameters. Her approach provided a robust, adaptive solution that enhanced the stability and precision of robotic arms in real-world applications. With 4 citations, this foundational study has influenced subsequent research in intelligent robotics and control theory. Wong’s work is particularly notable for bridging classical control methods with computational intelligence, offering a practical framework for developing more autonomous and resilient robotic systems. Her research continues to inspire students and engineers exploring the intersection of artificial intelligence and mechanical control, making her a key figure in the evolution of smart robotic technologies.
Research Focus
Key Achievements
Top Papers
- 1