Guanghong Tao
Papers
8
Total Citations
61
H-Index
5
About
Guanghong Tao is a leading researcher in the field of robotics, with a primary focus on inspection robots for high-voltage power transmission lines and advanced path planning algorithms. Tao’s most significant contributions include the design and analysis of modular rope-climbing robots, multi-unit serial inspection robots, and novel dual-arm inspection robots, all engineered to navigate complex obstacles on power lines with enhanced efficiency and reliability. Their work on the "Design and analysis of a modular rope-climbing robot with the finger-wheeled mechanism" and "A multi-unit serial inspection robot for power transmission lines" has each garnered 16 citations, demonstrating substantial impact in the robotics community. Tao has also advanced path planning by fusing improved RRT and DWA algorithms for dynamic obstacle environments, and developed prescribed performance sliding mode control for exoskeletons. With a career spanning from 2013 to 2025, Tao’s research consistently pushes the boundaries of robotic mobility and control, making their work essential reading for students and researchers interested in inspection robotics, modular design, and intelligent path planning.
Research Focus
Key Achievements
Top Papers
- 1
- 2A multi-unit serial inspection robot for power transmission lines16 citations · 2019
- 3
- 4Design of a Novel Dual-arm Inspection Robot with Flexible Cable7 citations · 2013
- 5
- 6
- 7A NOVEL INSPECTION ROBOT MOVING ON HIGH-VOLTAGE POWER TRANSMISSION LINE3 citations · 2015
- 8