Papers
5
Total Citations
36
H-Index
4
About
Jidai Wang is a pioneering researcher in the field of robotic systems for power infrastructure, with a primary focus on high-voltage transmission line inspection and maintenance. Over a career spanning more than a decade, Wang has made foundational contributions to the mechanical design and intelligent control of specialized inspection robots. His most influential work, "Research on a new crawler type inspection robot for power transmission lines" (2010), with 17 citations, introduced a novel three-arm crawler robot with a balance mechanism, setting a standard for autonomous line inspection. Building on this, Wang developed a bionic structure (2016) to overcome the challenge of crossing non-linear obstacles like drainage lines, and later integrated deep learning—specifically DeblurGANv2 and improved YOLOv5 (2023)—for real-time hardware identification, guiding obstacle-crossing actions. His expert control strategy (2012) automated obstacle negotiation, while his latest work (2024) extends robotic climbing to transmission towers. Wang’s research directly addresses critical safety and efficiency challenges in power grid maintenance, with cumulative citations reflecting sustained impact in robotics and energy infrastructure.
Research Focus
Key Achievements
Top Papers
- 1Research on a new crawler type inspection robot for power transmission lines17 citations · 2010
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