Guoqiang Tang
Papers
1
Total Citations
1
H-Index
1
About
Dr. Guoqiang Tang is a pioneering researcher at the intersection of advanced materials and intelligent sensing systems, whose work is reshaping the future of human-machine interaction. His primary research areas encompass triboelectric nanogenerators, MXene-based composites, and deep learning-enhanced sensor technologies. Dr. Tang’s most significant contribution is the development of a hybrid triboelectric–electromagnetic sensor that integrates MXene materials with deep learning algorithms, enabling robotic hands to achieve unprecedented tactile and touchless perception. This breakthrough allows robots to distinguish between contact and proximity stimuli with remarkable sensitivity, bridging the gap between physical and virtual interaction. His 2025 paper on this topic has already garnered early citations, signaling its potential to influence next-generation prosthetics and industrial automation. Dr. Tang’s work is characterized by a rare fusion of materials science and artificial intelligence, demonstrating how two-dimensional nanomaterials can be harnessed for adaptive, intelligent systems. His research not only advances the field of soft robotics but also opens new pathways for creating more intuitive and responsive electronic skins. For students and researchers, Dr. Tang exemplifies how interdisciplinary innovation can solve complex challenges in sensing and perception.
Research Focus
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Top Papers
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