Jefry Ng

Papers

Total Citations

H-Index

About

Jefry Ng’s research lies at the intersection of robotics, artificial intelligence, and control systems, with a particular focus on intelligent navigation for mobile robots. His most cited work, “Fuzzy and Neural controllers for acute obstacle avoidance in mobile robot navigation” (2009, 38 citations), addresses a fundamental challenge in autonomous robotics: guiding a robot toward a goal while dynamically avoiding obstacles in unknown, variable terrain. By integrating fuzzy logic and neural network controllers, Ng developed a robust framework that enables real-time decision-making in complex environments, significantly improving the safety and efficiency of autonomous navigation. This contribution has been influential in the fields of mobile robotics and intelligent control, providing a practical solution for acute obstacle avoidance that has been cited by researchers working on adaptive path planning and sensor-based navigation. Ng’s work demonstrates a keen ability to bridge theoretical control methods with real-world robotic applications, making his research a valuable reference for students and engineers developing autonomous systems. His achievements highlight the power of hybrid intelligent approaches in solving challenging robotics problems.