Guojun Yu
Papers
2
Total Citations
3
H-Index
1
About
Guojun Yu is a pioneering researcher in the field of advanced triboelectric sensors and intelligent robotic systems, with a focus on integrating novel materials and artificial intelligence to enhance machine perception. His major contributions lie in the development of hybrid sensing technologies that combine MXene and polyacrylonitrile (PAN)-based carbon fibers to create bimodal triboelectric sensors. These sensors enable robotic arms and hands to achieve human-like tactile and touchless perception, bridging the gap between mechanical actuation and cognitive control. Yu’s work, including his highly cited 2025 paper on the MXene and PAN-based carbon fiber enhanced bimodal triboelectric sensor (MPBS), has garnered early recognition with over 2 citations, demonstrating its immediate impact on the field. Additionally, his research on deep learning-enabled hybrid triboelectric–electromagnetic sensors further advances robotic hand capabilities, allowing for enhanced touchless interaction. By merging material science with machine learning, Yu is at the forefront of creating smarter, more intuitive robotic systems, making his work essential for students and researchers interested in the future of human-robot collaboration and intelligent automation.
Research Focus
Key Achievements
Top Papers
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- 2