Yiming Xu
Papers
4
Total Citations
40
H-Index
3
About
Yiming Xu is an emerging researcher specializing in fiber optic sensing technology and robotic tactile perception, with a particular focus on developing advanced sensor systems for intelligent robotic manipulation. His work centers on the design and application of Fiber Bragg Grating (FBG)-based tactile sensors, addressing critical challenges in how robots sense and interact with objects during grasping tasks. Xu's most significant contributions include pioneering a double-layer sliding tactile sensor that enables flexible sliding detection for robot fingers, and designing a square-hole-structured pressure tactile sensor that effectively mitigates lateral force interference — a persistent challenge in robotic touch sensing. These innovations, published between 2022 and 2024, have collectively garnered over 40 citations, reflecting their relevance to the robotics and sensing communities. More recently, Xu has extended his research into intelligent perception by integrating convolutional neural networks with FBG tactile arrays for shape recognition, bridging the gap between physical sensing hardware and machine learning-driven interpretation. His exploration of convex fiber grating sensors further demonstrates a commitment to solving real-world grasping challenges. For students and researchers in soft robotics, haptic sensing, or smart manufacturing, Xu's body of work offers a compelling foundation in next-generation tactile sensing solutions.
Research Focus
Key Achievements
Top Papers
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