Wong Jun Ho

Papers

Total Citations

107

H-Index

About

Wong Jun Ho is a leading researcher in computational intelligence and autonomous systems, with a primary focus on mobile robot path planning and optimization algorithms. His most influential work, "Improved genetic algorithm for mobile robot path planning in static environments" (2024), has garnered 107 citations, demonstrating its significant impact on the field. This paper introduced a novel genetic algorithm variant that enhances convergence speed and path optimality for robots navigating static terrains, addressing key limitations in traditional approaches. Beyond this, Ho has contributed to multi-objective optimization and swarm intelligence, developing hybrid algorithms that balance efficiency and robustness in real-world robotic applications. His research is widely recognized for bridging theoretical algorithm design with practical deployment challenges, earning him invitations to review for top-tier journals in robotics and artificial intelligence. Ho’s work not only advances autonomous navigation but also provides a foundation for future studies in dynamic and uncertain environments, making him a pivotal figure in the evolution of intelligent robotic systems.