Papers
3
Total Citations
27
H-Index
3
About
Junjie Li is a robotics researcher whose work bridges intelligent automation with real-world safety and manufacturing challenges. His primary research areas include firefighting robotics, underwater inspection systems, and industrial robotic manipulation. Li’s most notable contribution is the design of a small wheel-foot hybrid firefighting robot capable of infrared visual fire recognition—a project that has garnered 13 citations and addresses the critical need for remote reconnaissance in hazardous fire environments. He further advanced autonomous inspection with a deep learning-based siltation image recognition system for water conveyance tunnels, deployed via underwater robots (10 citations). In the manufacturing domain, Li developed a robotic polishing system for wheel hubs, modeling the process and implementing force control to improve surface quality and production consistency (4 citations). His work demonstrates a clear trajectory from theoretical modeling to practical deployment, with a strong emphasis on enhancing safety and efficiency in high-risk or precision-demanding settings. Li’s research is particularly relevant for students and engineers interested in field robotics, computer vision, and intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3