Haoyu Lin
Papers
9
Total Citations
83
H-Index
5
About
Haoyu Lin is a robotics and computer vision researcher whose work sits at the dynamic intersection of autonomous systems, electric vehicle (EV) automation, and intelligent manipulation. His research is primarily focused on solving the critical challenge of automatic EV charging, encompassing visual detection of charging ports, robotic manipulation, and safety assurance in human-robot interaction. Lin's most impactful contribution is his development of advanced identification and localization systems for EV charging ports in complex, real-world environments. His 2021 paper on contour feature recognition has garnered 37 citations, establishing him as a notable voice in this emerging field. He has progressively refined these methods, introducing multi-vehicle recognition frameworks using sophisticated architectures such as CBAM-enhanced YOLO variants, and cluster template matching algorithms that improve pose estimation accuracy. Beyond perception, Lin has made meaningful contributions to cable-driven manipulator research, addressing kinematic calibration, peg-in-hole assembly control, and collision detection using deep learning hybrid models like DCNN–SVM. His 2022 collision localization work reflects a strong commitment to operational safety in physical vehicle-robot interaction scenarios. With a growing citation record spanning foundational and applied robotics, Lin represents an emerging researcher steadily advancing the frontier of intelligent automated charging systems.
Research Focus
Key Achievements
Top Papers
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