Papers
9
Total Citations
184
H-Index
4
About
Beiwen Li is a pioneering researcher at the intersection of advanced 3D imaging, robotics, and intelligent manufacturing, whose work has fundamentally advanced how machines perceive and interact with the physical world. Best known for his groundbreaking contributions to structured light and digital fringe projection (DFP) techniques, Li has developed high-accuracy, high-speed 3D imaging systems capable of capturing complex dynamic phenomena — from stabilized flapping flight processes in bio-inspired robotics to fine-scale features critical for precision assembly. His 2017 survey on structured light imaging techniques has amassed over 100 citations, establishing him as a leading authority in the field. Li's research spans biological motion analysis, robotic manipulation, and sustainable manufacturing. His dense 3D strain mapping of robotic flapping wings opened new avenues in bio-inspired engineering, while more recent work addresses urgent global challenges such as e-waste recycling through autonomous 3D scanning, high dynamic range profilometry, and virtual reality-based human-robot disassembly training platforms. His development of adaptive grasping algorithms for cable-driven robotic hands further demonstrates his breadth across sensing and actuation systems. With nearly 180 cumulative citations, Li's contributions continue to shape intelligent robotics and smart factory technologies for a new generation of researchers and engineers.
Research Focus
Key Achievements
Top Papers
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- 3Novel method for measuring a dense 3D strain map of robotic flapping wings22 citations · 2018
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- 5Grasping Force Control and Adaptation for a Cable-Driven Robotic Hand4 citations · 2024
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- 8Autonomous robotic 3D scanning for smart factory planning2 citations · 2024
- 9Single Shot 3D Shape Measurement of Non-Volatile Data Storage Devices1 citations · 2023