Shouren Huang
The University of Tokyo, Beihang University, Tokyo University of Science
Papers
30
Total Citations
342
H-Index
10
About
Shouren Huang is a robotics and computer vision researcher whose work centers on high-speed visual servoing, robotic manipulation under uncertainty, and intelligent manufacturing systems. He is perhaps best known for his pioneering contributions to peg-and-hole alignment — a fundamental yet challenging problem in industrial automation — where his visual compliance strategies and eye-in-hand camera approaches enabled fast, accurate assembly despite significant positional and attitude uncertainty. His most cited work (2013, 49 citations) introduced a decoupled alignment framework using a lightweight 3-DOF active peg, representing a meaningful step forward in flexible manufacturing. A central theme across Huang's research is the dynamic compensation concept, which addresses the inherent limitations of traditional robot arms during high-speed operations by fusing high-speed actuators with rapid visual feedback. This framework has been extended to contour tracking, position regulation, and human-robot collaborative systems. His 2018 work on dynamic compensation robots for flexible manufacturing (42 citations) demonstrates the practical industrial relevance of these ideas. More broadly, Huang has contributed to monocular vision-based mobile robot navigation and coarse-to-fine positioning frameworks, collectively accumulating over 240 citations. His body of work positions him as a thoughtful contributor to bridging perception and precision in real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Fast peg-and-hole alignment using visual compliance49 citations · 2013
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- 4Realizing peg-and-hole alignment with one eye-in-hand high-speed camera24 citations · 2013
- 5Automatic Navigation for A Mobile Robot with Monocular Vision20 citations · 2008
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- 9Dynamic Intelligent Systems Based on High-Speed Vision12 citations · 2019
- 10