Li Jie Yew
Papers
1
Total Citations
2
H-Index
1
About
Li Jie Yew is a researcher specializing in robotics and autonomous navigation, with a particular focus on motion planning for mobile robots operating in constrained environments. His most cited work, "Shortest Path Planning for Rectangular Holonomic Omnidirectional Mobile Robot Using Improved PRM Algorithm" (2025), introduces a novel adaptation of the Probabilistic Roadmap (PRM) method to optimize path efficiency for holonomic omnidirectional robots—systems capable of moving in any direction without rotation constraints. By addressing the geometric complexities of rectangular robot shapes, Yew’s algorithm significantly reduces path length and computational overhead, advancing practical applications in warehouse automation and service robotics. Though early in its citation impact (2 citations), this work has already garnered attention for its practical relevance, demonstrating Yew’s ability to bridge theoretical path planning with real-world robot dynamics. His contributions are poised to influence future developments in autonomous navigation, particularly for systems requiring precise, energy-efficient movement in tight spaces.
Research Focus
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Top Papers
- 1