Zhilong Su

Shanghai University, University of Chinese Academy of Sciences

Papers

Total Citations

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About

Zhilong Su is a robotics researcher whose work focuses on intelligent perception, 3D imaging, and wearable robotic systems. His key research areas include computer vision for robot navigation, structured light imaging, and human-robot interaction for assistive devices. Su’s most notable contribution is his pioneering work on deep diffusion learning for mutual-reflective structured light patterns, which enables simultaneous 3D imaging of multiple high-reflective objects—a critical advancement for robot operations in intelligent manufacturing. This work, published in 2024, has already garnered 6 citations, demonstrating its immediate impact. He has also made significant contributions to terrain-adaptive locomotion for soft lower-limb exosuits, where he introduced vision-based environmental perception to help wearable robots predict and adapt to different terrains. Additionally, Su developed a multi-sensor cliff detection method for robot navigation, fusing RGB-D camera data with LiDAR to enhance autonomous exploration safety. His research bridges the gap between perception and action in robotics, with applications ranging from industrial automation to assistive technology. Su’s work continues to influence the development of more intelligent, context-aware robotic systems.