Chow-Yong Ng
Papers
1
Total Citations
8
H-Index
1
About
Chow-Yong Ng is a researcher specializing in mobile robotics and multi-objective optimization, with a particular focus on vision-aided path planning and evolutionary algorithms. His most-cited work, "Vision-Aided Path Planning Using Low-Cost Gene Encoding for a Mobile Robot" (2021), addresses the fundamental challenge of path planning as a multi-objective optimization problem, simultaneously optimizing for the shortest path and collision-free navigation. By developing a novel genetic algorithm approach with low-cost gene encoding, Ng introduced an efficient method for mobile robots to navigate complex environments using visual input. This work has garnered 8 citations, establishing his contribution to the intersection of computer vision and evolutionary computation. His research demonstrates practical applications in autonomous navigation, where balancing competing objectives—path efficiency and safety—is critical. Ng's approach stands out for its computational efficiency, making it suitable for real-time implementation in resource-constrained robotic systems. His work continues to influence researchers exploring genetic algorithms for multi-objective optimization in robotics, particularly those seeking cost-effective solutions for autonomous navigation in dynamic environments.
Research Focus
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Top Papers
- 1