Yunhai Su

Zhejiang University, National Yang Ming Chiao Tung University

Papers

Total Citations

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About

Yunhai Su is a researcher at the forefront of intelligent robotic systems, specializing in human-robot interaction, 3D computer vision, and automated trajectory planning. His work bridges the gap between intuitive control and industrial precision, with a focus on making complex robotic tasks more accessible and efficient. Su’s major contributions include developing a semantic segmentation-based method for spraying trajectory planning on complex products, which uses a geometric feature-guided network to divide surfaces into optimal painting regions—a critical advancement for automated manufacturing. He has also pioneered augmented reality (AR) and virtual reality (VR) manipulation systems for industrial robots, enabling operators to control manipulators through intuitive interfaces rather than traditional teaching pendants. His most cited work, a 2024 paper on semantic segmentation for trajectory planning (6 citations), alongside earlier AR-based manipulation systems (6 citations), demonstrates his sustained impact. Su’s research on zero-shot 3D pose estimation of unseen objects via two-step RGB-D fusion further showcases his innovative approach to vision-based robotics. With a portfolio that advances both theoretical understanding and practical deployment, Su is shaping the future of flexible, user-friendly industrial automation.