Eng Kiong Wong
Papers
8
Total Citations
111
H-Index
4
About
Eng Kiong Wong is a pioneering researcher in robotics and intelligent control systems, whose work spans robot vision, path planning, and cooperative multi-agent systems. His foundational paper, "Model matching in robot vision by subgraph isomorphism" (1992, 82 citations), established a rigorous approach to visual recognition that remains influential in the field. Wong’s contributions to mobile robotics are equally impactful: he developed hybrid genetic algorithms for optimal path planning and designed ant-inspired foraging strategies that leverage explicit communication to improve cooperative robot efficiency. His research also advances control theory, with notable work on generalized predictive control for robotic manipulators and evolutionary active force control for biped locomotion. Wong has introduced self-learning nonlinear variable gain PD controllers, demonstrating a commitment to adaptive, robust systems. With a career that bridges theoretical innovation and practical implementation, his work has shaped modern approaches to autonomous navigation, robot coordination, and intelligent control—making him a key figure for students and researchers exploring the intersection of machine intelligence and robotics.
Research Focus
Key Achievements
Top Papers
- 1Model matching in robot vision by subgraph isomorphism82 citations · 1992
- 2
- 3Intelligent Pool Decision System Using Zero-Order Sugeno Fuzzy System6 citations · 2005
- 4
- 5GENERALIZED PREDICTIVE CONTROL ON A ROBOTIC MANIPULATOR SYSTEM4 citations · 2013
- 6EVOLUTIONARY ACTIVE FORCE CONTROL OF A 5-LINK BIPED ROBOT2 citations · 2002
- 7
- 8