Wei‐Min Shi
Papers
2
Total Citations
106
H-Index
2
About
Wei‐Min Shi is a pioneering researcher in robotics and computer vision, best known for foundational work in autonomous robot navigation. His landmark 1993 paper, "Robot navigation in unknown terrains: Introductory survey of non-heuristic algorithms," with over 100 citations, established a formal framework for navigating robots through unknown environments using sensor systems—a critical contribution that shaped early non-heuristic approaches to obstacle avoidance and path planning. This work remains a key reference for researchers developing autonomous systems in unstructured settings. More recently, Shi has applied computer vision to industrial automation, as seen in his 2021 paper on detecting thread roll margins using mobile robot-mounted cameras, addressing cost and reliability challenges in textile manufacturing. His career spans from theoretical navigation algorithms to practical vision-based solutions, demonstrating a sustained impact on both foundational robotics and applied manufacturing technologies. With a citation count exceeding 100 for his most influential work, Shi’s contributions continue to inform modern robotics and computer vision research.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Detection of Thread Roll’s Margin Based on Computer Vision5 citations · 2021