Yegui Lin
Papers
5
Total Citations
42
H-Index
4
About
Yegui Lin is a leading researcher in robotics and autonomous systems, specializing in visual servoing control, sensor fusion, and the safe, smooth navigation of mobile robots. Their work is pivotal for the next generation of logistics and service robots, addressing fundamental challenges in movement precision and constraint satisfaction. Lin’s most impactful contribution is the novel "Neurodynamics-Based Visual Servo Predictive Control" (NVSPC) for omnidirectional robots, which has already garnered 20 citations since its 2025 publication. This work directly tackles safety and effectiveness by ensuring smooth, constrained motion. Further foundational contributions include a weighted asynchronous fusion algorithm for laser and vision sensors in SLAM systems, enabling more robust localization for assistant robots, and a quasi-min-max MPC approach for visual servoing stabilization that respects physical and visual constraints. Lin has also advanced the field by applying control Lyapunov functions for optimization stabilization and developing disturbance observer-based methods to counteract environmental perturbations like wind and uneven terrain. With a growing body of work that bridges theoretical control with practical robotic deployment, Yegui Lin is shaping the future of intelligent, reliable mobile robotics.
Research Focus
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Top Papers
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