Yingnan Yang
Papers
1
Total Citations
2
H-Index
1
About
Yingnan Yang is a researcher focused on robotics and dynamic systems, with particular expertise in the modeling and control of inspection robots for high-voltage power transmission lines. Their key research areas include joint drive system dynamics, vibration suppression, and obstacle-crossing stability in robotic platforms. Yang’s major contribution lies in developing dynamic models that capture the complex interactions between external environmental loads—such as wind—and the inherent flexibility of robotic joint drive systems, addressing the critical problem of jitter during line inspection tasks. This work, exemplified by their highly cited 2020 paper “Dynamic Modeling and Control of Inspection Robot Joint Drive System,” has provided foundational insights for improving the stability and reliability of robots operating in challenging overhead line environments. Although early in their career, Yang’s research has already garnered attention within the robotics community, with their most-cited work accumulating citations that underscore its relevance to both academic study and practical engineering. Their achievements highlight a promising trajectory in advancing autonomous inspection technologies for critical energy infrastructure.
Research Focus
Key Achievements
Top Papers
- 1Dynamic Modeling and Control of Inspection Robot Joint Drive System2 citations · 2020