Max Robotics — Global Service Robot Directory + US Certification

About

Guifang Duan is a leading researcher at the intersection of advanced manufacturing, robotics, and computer vision. Her work focuses on developing intelligent systems for complex industrial automation, with key contributions in 4D printing, robotic perception, and automated trajectory planning. Duan’s pioneering research on 4D-printed structures with reversible deformation—published in 2022 and garnering 13 citations—introduces a novel bilayer design combining shape memory polymers and elastic materials, enabling soft crawling robots to adapt their shape on demand. This breakthrough has significant implications for soft robotics and adaptive structures. In robotic vision, Duan developed a precise hand–eye calibration method using spatial distance and epipolar constraints (2021, 12 citations), enhancing accuracy in human-robot collaboration. Her most recent work (2024) advances zero-shot 3D pose estimation for unseen objects via two-step RGB-D fusion, and semantic segmentation-based spraying trajectory planning for complex products, demonstrating her commitment to bridging perception and action in manufacturing. With a growing citation impact and a portfolio spanning from material science to AI-driven robotics, Duan is shaping the future of intelligent, adaptive automation systems.