Yuexin Fan

Chongqing University of Technology, Shanghai Jiao Tong University

Papers

Total Citations

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About

Yuexin Fan is a researcher whose work bridges robotics, soft materials, and intelligent systems. Her key research areas include path planning algorithms, liquid crystalline elastomers (LCEs) for soft robotics, and 3D reconstruction for construction automation. Her most impactful contribution is an improved A* path planning method for grid maps, which addresses the traditional algorithm’s problems of excessive turning points and slow search speed—a paper that has garnered 75 citations since 2022. This work, validated on a mobile robot platform with lidar and inertial measurement, demonstrates her ability to enhance autonomous navigation efficiency. In soft robotics, she has advanced LCEs with tailorable actuation performance using orthogonal click chemistries (8 citations), enabling precise control of liquid crystalline orientation for superior actuator design. Additionally, her application of an improved marching cube algorithm for 3D reconstruction in shotcreting robots (4 citations) tackles real-world challenges in tunnel construction, using explosion-proof LIDAR for point cloud splicing and normal re-orientation. Fan’s research consistently integrates theoretical innovation with practical deployment, making her a notable figure in both algorithmic optimization and material-driven robotics.