Peijie Yang
Papers
2
Total Citations
3
H-Index
1
About
Peijie Yang is a researcher focused on intelligent automation and robotic control for heavy industrial and energy infrastructure applications. His work centers on developing advanced control systems that integrate force sensing, adaptive algorithms, and unmanned platforms to address critical challenges in mining, construction, and renewable energy. Yang’s most notable contributions include an intelligent control method for rock drilling manipulators using force control sensors, which aims to improve precision and reduce labor risks in demanding drilling operations. He has also pioneered a design and control approach for lightning protection detection robots for wind turbines, employing UAV-carried manipulators to inspect and safeguard turbines in remote, high-altitude, and harsh environments. While his highly cited papers are early in their citation lifecycle, they address pressing industry needs for automation and safety. Yang’s research demonstrates a clear trajectory toward practical, field-deployable robotic solutions that enhance operational efficiency and worker safety in sectors where traditional methods are increasingly inadequate.
Research Focus
Key Achievements
Top Papers
- 1
- 2