Guangjie Yuan
Papers
8
Total Citations
747
H-Index
6
About
Guangjie Yuan is a pioneering researcher at the intersection of soft robotics, triboelectric nanogenerators (TENGs), and intelligent human-robot interaction. His most impactful work, with over 650 citations, introduces TENG-based sensors for soft robotic grippers aimed at digital twin applications—enabling continuous motion and tactile capture for advanced human-machine collaboration. Yuan also developed a vision-based system for automatic weld seam identification, a universal self-adaption workspace mapping method using Kinect data, and graphene-impregnated paper electronic skins for robotic intelligence and wireless health monitoring. His research on twisted and coiled polymer actuators (TCPAs) explores variable stiffness mechanisms, while his work on tubular climbing robots and shape perception in soft grippers further demonstrates his breadth. With contributions spanning sensor design, control algorithms, and health monitoring, Yuan’s work has been published in high-impact venues and cited over 700 times, reflecting its significance in advancing soft robotics and intelligent systems. His innovations are shaping the future of adaptive, sensor-rich robotic platforms for real-world applications.
Research Focus
Key Achievements
Top Papers
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- 7Research on a Tubular Climbing Robot Induced by Tri-tube Soft Actuators4 citations · 2019
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