Yu Xie
Papers
2
Total Citations
33
H-Index
2
About
Yu Xie is an innovative researcher working at the exciting intersection of tactile sensing, robotics, and human-machine interaction. Their work spans two compelling frontiers: advanced optical sensing technologies and computer vision-based pose estimation for industrial robotics applications. Xie's most prominent contribution involves pioneering the use of optical micro/nanofiber technology to develop sophisticated multiaxial force sensors capable of perceiving tactile information with remarkable precision. This work, already garnering 29 citations since its 2024 publication, addresses a critical challenge in robotics and prosthetics — enabling machines to "feel" contact forces across multiple directions simultaneously. The sensor's advantages in sensitivity, response speed, and electromagnetic interference resistance represent a meaningful advancement over conventional electronic tactile approaches. Complementing this, Xie has developed ParametricNet++, a six-degrees-of-freedom pose estimation network designed to handle the diversity and uncertainty inherent in industrial parametric shapes within complex stacked environments — a practically significant problem in automated manufacturing and robotic manipulation. Though early in establishing their citation profile, Xie's research demonstrates a sophisticated command of optical physics, computer vision, and robotics, positioning them as an emerging voice in intelligent sensing systems and human-robot interaction technologies.
Research Focus
Key Achievements
Top Papers
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