Guifang Zhang

Papers

Total Citations

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About

Guifang Zhang is a leading researcher in intelligent robotic manufacturing, with a primary focus on adaptive grinding and humanoid robotic systems for complex surface finishing. Her most impactful work, "3D curvature grinding path planning based on point cloud data" (2016, 24 citations), introduces a pioneering method that leverages online 3D scanning to generate precise robot paths for grinding workpieces with intricate geometries. By processing point cloud data through filtering and smoothing, Zhang’s approach enables real-time, adaptive path planning, significantly enhancing automation in precision manufacturing. This contribution is widely recognized for bridging the gap between sensor feedback and robotic control. In her subsequent work, "Novel humanoid dual-arm grinding robot" (2016, 5 citations), Zhang advances the field by designing a robot equipped with two 6-DOF manipulators, force/torque sensors, and binocular vision. This system allows for environmental interaction recognition and adaptive grinding control, mimicking human dexterity. Zhang’s research is instrumental in pushing the boundaries of robotic autonomy, offering scalable solutions for industries requiring high-precision surface finishing. Her work continues to inspire innovations in sensor-driven robotics and human-robot collaboration.