Papers
11
Total Citations
77
H-Index
6
About
Enguang Guan is a leading researcher in the field of intelligent robotics, with a primary focus on wall-climbing robots, modular robotic systems, and automated nondestructive testing. His work addresses critical challenges in industrial maintenance and manufacturing, particularly for large steel structures like pressure pipelines and ship hulls. Guan’s major contributions include the development of an automated nondestructive testing system for pressure pipeline welds (2023, 15 citations), which significantly improves safety and efficiency over manual methods. He has also pioneered novel magnetic circuit designs for permanent magnetic chucks in wall-climbing robots (2022, 14 citations), enhancing their adsorption reliability. His wheeled wall-climbing robot with an adaptive magnetic adhesion mechanism (2024, 11 citations) tackles the persistent issues of low payload-to-weight ratio and poor surface adaptability. Additionally, Guan has made notable advances in adaptive skid-steering control for robots on uncertain inclined planes (2024, 8 citations) and self-reconfigurable modular systems like M-Lattice for space solar panel assembly (2015, 3 citations). His work on fault self-diagnosis for modular robots (2015, 6 citations) further underscores his commitment to robust, autonomous systems. With over 75 total citations, Guan’s research is driving the next generation of climbing and reconfigurable robots for demanding industrial applications.
Research Focus
Key Achievements
Top Papers
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- 6Fault Self-Diagnosis for Modular Robotic Systems Using M-Lattice Modules6 citations · 2015
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- 10Meta-module Self-configuration Strategy for Modular Robotic System3 citations · 2016