Jiamin Chen

Chinese Academy of Sciences, Wayne State University

Papers

Total Citations

173

H-Index

About

Jiamin Chen is a leading researcher at the intersection of biomimetic tactile sensing, magnetic sensor technology, and intelligent robotics. Their work is fundamentally reshaping how robots perceive and interact with their environment through touch. Chen’s most influential contribution is the development of a magnetic tactile sensor featuring a bionic hair array, which enables advanced sliding sensing and object recognition—a breakthrough with 81 citations that addresses a critical need for large-area, multi-dimensional sensing in intelligent robots. Complementing this, their comprehensive review on biomimetic tactile sensing technology based on magnetic sensors (66 citations) has become a foundational reference, charting the field’s progress and its applications in medical treatment, health monitoring, and human-machine interaction. Earlier, Chen’s work on the “E2M” framework (26 citations) tackled the challenge of optimizing computer-vision applications for autonomous mobile robots, demonstrating a versatile expertise that spans from hardware innovation to system-level efficiency. With a growing citation impact and a clear focus on solving real-world problems in robotics and sensing, Jiamin Chen stands out as a pivotal figure driving the next generation of tactile intelligence.