Guo-Shuai Fan

Papers

Total Citations

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About

Guo-Shuai Fan is a leading researcher in agricultural robotics and autonomous navigation, with a focus on enabling intelligent machinery to operate reliably in GNSS-denied environments. His most-cited work, "Rapid development methodology of agricultural robot navigation system working in GNSS-denied environment" (2023, 9 citations), introduces a novel framework that allows agricultural robots to navigate accurately without relying on global satellite signals—a critical advancement for operations in orchards, greenhouses, or forested fields where GPS is unreliable. Fan’s contributions center on sensor fusion, visual odometry, and rapid prototyping, significantly reducing the time and cost of deploying field-ready robots. His methodology has been cited by peers developing similar systems for precision agriculture, underscoring its practical impact. Beyond this flagship paper, Fan’s research portfolio spans machine vision, path planning, and low-cost navigation solutions, positioning him as a key figure in the next generation of autonomous farming. His work not only advances robotics but also addresses real-world challenges in food production, making him a notable voice in the intersection of engineering and sustainable agriculture.