Zhenjing Li
Papers
3
Total Citations
95
H-Index
3
About
Zhenjing Li is a pioneering researcher at the intersection of robotics and artificial intelligence, with key contributions in climbing robotics and intelligent systems. Li’s most impactful work centers on developing versatile quadruped climbing robots (QCRs) that, for the first time, integrate climbing, omnidirectional locomotion, large obstacle overcoming, and manipulation capabilities using adhesive vacuum suckers—a breakthrough published in 2022 with 34 citations. Complementing this, Li authored a comprehensive survey on window-cleaning robots (2021, 43 citations), addressing critical safety and efficiency challenges in high-rise building maintenance. Demonstrating remarkable interdisciplinary breadth, Li also explores AI applications in Traditional Chinese Medicine (TCM), reviewing intelligent solutions for syndrome differentiation (2021, 18 citations). With over 95 total citations across these flagship works, Li’s research not only advances practical robotic systems for hazardous environments but also bridges cutting-edge AI with ancient medical practices. This dual focus on tangible engineering solutions and cross-domain innovation marks Li as a versatile scholar whose work inspires both roboticists and biomedical AI researchers.
Research Focus
Key Achievements
Top Papers
- 1A Survey on Techniques and Applications of Window-Cleaning Robots43 citations · 2021
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