Zhi-Yu Loke
Papers
1
Total Citations
13
H-Index
1
About
Dr. Zhi-Yu Loke is a rising researcher in swarm intelligence and multi-robot systems, with a primary focus on path planning and trajectory optimisation. His most cited work, "Enhanced Particle Swarm Optimisation for Multi-Robot Path Planning with Bezier Curve Smoothing" (2024, 13 citations), introduces a novel EPSO algorithm that integrates cubic Bezier curve smoothing to overcome the limitations of traditional PSO methods—namely, suboptimal paths with excessive turns. By fusing an enhanced optimisation scheme with smooth trajectory generation, Dr. Loke’s approach significantly improves path efficiency and navigational fluidity for multi-robot teams. This contribution is particularly impactful for applications in autonomous navigation, warehouse logistics, and cooperative robotics, where smooth, collision-free routes are critical. Though early in his career, Dr. Loke’s work has already garnered attention for its practical elegance and computational effectiveness. His research bridges the gap between theoretical swarm algorithms and real-world robotic deployment, marking him as a promising innovator in intelligent systems engineering.
Research Focus
Key Achievements
Top Papers
- 1