Papers
6
Total Citations
41
H-Index
4
About
Quan Shi is a robotics and automation researcher whose work spans 3D sensing and inspection, autonomous navigation, and robot perception. His early contributions focused on advancing non-contact dimensional measurement systems, most notably developing robot-assisted sensing solutions capable of inspecting challenging surfaces — including transparent and mirror-like glass — that conventional coordinate measurement machines (CMMs) struggle to handle. His 2011 paper on back-imaging measurement for transparent glass (19 citations) and his 2010 work on robot-aided area sensing for 3D shape inspection (11 citations) addressed critical gaps in industrial quality control, offering patch-based measurement approaches that significantly improved efficiency over point-by-point contact methods. More recently, Shi has expanded into autonomous systems and mobile robotics, contributing research on dynamic obstacle avoidance for self-driving sweepers, terrain mapping for legged robots, and mobile robot localization using event-based state estimation. His 2024 work on self-supervised monocular depth estimation under varied weather conditions reflects a growing focus on making perception systems robust and accessible for real-world deployment. Across his career, Shi's research consistently bridges sensing, planning, and control — delivering practical solutions that support both industrial automation and the advancement of intelligent, autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A Robot-Assisted Back-Imaging Measurement System for Transparent Glass19 citations · 2011
- 2Develop a Robot-Aided Area Sensing System for 3D Shape Inspection11 citations · 2010
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