Papers
6
Total Citations
119
H-Index
3
About
Chen Yi is a pioneering researcher in neuromorphic tactile sensing, robotic systems, and advanced sensor technologies. Their most impactful work, "An Extreme Learning Machine-Based Neuromorphic Tactile Sensing System for Texture Recognition" (2018, 100 citations), draws inspiration from biological systems to create artificial tactile perception that rivals human efficiency—a breakthrough with profound implications for prosthetics and human-robot interaction. Yi has also made significant contributions to marine robotics, analyzing wall stability for climbing robots used in ship inspection, and to MEMS gyroscope accuracy, developing dynamic zero-offset compensation algorithms that enhance inertial navigation systems. More recently, Yi has advanced visual inspection through dynamic coverage of mobile camera networks and pioneered high-precision underwater turbidity removal using division-of-focal-plane polarization for 3D structured light reconstruction. With a career spanning from early work in JAVA3D-based robot emulation to cutting-edge polarization imaging, Yi demonstrates remarkable versatility and sustained innovation. Their research, which bridges computational algorithms, sensor development, and practical robotics applications, continues to shape the future of tactile sensing and autonomous inspection systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Wall Stability Analysis of Marine Wall Climbing Robot7 citations · 2021
- 3Analysis and Processing on Zero Position Error of MEMS Gyroscope5 citations · 2012
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