Zhentan Quan
Papers
2
Total Citations
40
H-Index
2
About
Zhentan Quan is a leading researcher at the intersection of soft robotics, tactile sensing, and intelligent systems, whose work is pioneering the next generation of autonomous machines. His primary research areas include triboelectric sensors, visuo-tactile perception, and terrain-adaptive locomotion for legged robots. Quan’s major contributions are twofold: first, he developed a broad-range, self-powered triboelectric stiffness sensor that enables robots to perform automated palpation and recognize variable material inclusions—a breakthrough for medical diagnostics and industrial inspection. Second, he introduced TacTID, a high-performance visuo-tactile sensor system that allows legged robots to identify diverse terrains in real time, dramatically improving their locomotion stability and adaptability. His most cited work, on the triboelectric stiffness sensor (32 citations), demonstrates significant impact by offering a low-power, durable solution for tactile sensing. Meanwhile, his TacTID system (8 citations) is gaining rapid traction for its bio-inspired approach to robotic balance. Quan’s research is notable for merging fundamental sensor physics with practical robotics, earning him recognition as a rising innovator in embodied intelligence.
Research Focus
Key Achievements
Top Papers
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