Fayin Chen

About

Fayin Chen is a pioneering researcher at the intersection of flexible electronics, intelligent sensing, and surgical robotics. Their work focuses on developing bioinspired fiber-based sensors and tactile systems for human-machine interfaces (HMI) and orthopedic surgery. Chen’s major contributions include the design of stretchable, waterproof fiber sensors that mimic natural structures like *Lindernia nummularifolia* to overcome limitations in traditional wearable devices, and the creation of AI-motivated skin-like optical tactile sensors that emulate human somatosensory processing. In surgical robotics, Chen has advanced six-axis FBG force/moment sensors with gravity self-compensation and in-situ calibration, enabling precise force feedback during bone drilling to enhance surgical safety and reduce surgeon burden. Their most-cited paper, “Bioinspired Stretchable Fiber-Based Sensor toward Intelligent Human–Machine Interactions” (2022, 66 citations), highlights their impact in wearable technology. With over 140 total citations across key publications, Chen’s work bridges soft robotics, AI, and medical devices, offering transformative solutions for intuitive human-robot interaction and safer orthopedic procedures.

Research Focus

Key Achievements

Top Papers

1. 1
   Bioinspired Stretchable Fiber-Based Sensor toward Intelligent Human–Machine Interactions

   66 citations · 2022
2. 2
   An Artificial Intelligence‐Motivated Skin‐Like Optical Fiber Tactile Sensor

   48 citations · 2023
3. 3
   Hybrid Data-Driven Optimization Design of a Layered Six-Dimensional FBG Force/Moment Sensor With Gravity Self-Compensation for Orthopedic Surgery Robot

   22 citations · 2022
4. 4
   Elliptical torus-based Six-axis FBG Force Sensor with In-situ Calibration for Condition Monitoring of Orthopedic Surgical Robot*

   3 citations · 2024
5. 5
   In Situ Calibration of a Six-Axis FBG Force/Moment Sensor for Surgical Robot

   2 citations · 2022

Key Collaborators

Contact & Links