Yinming Liu

Shandong University of Science and Technology, Chongqing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Yinming Liu is a researcher at the forefront of soft robotics and intelligent sensing systems, with a focus on tactile perception and seamless positioning technologies. His most cited work, "Learning the human perceptions of touch force positing and object shape using a soft optical fiber tactile sensing pad" (2024, 8 citations), introduces a novel soft optical fiber-based tactile pad that mimics human touch to detect force, position, and object shape—a breakthrough for human-robot interaction and prosthetics. Liu also contributed to "Indoor and Outdoor Seamless Positioning Method for Open Environment" (2021, 5 citations), which addresses a critical challenge in mobile robotics and autonomous vehicles by fusing indoor and outdoor positioning data for continuous, reliable navigation in changing environments. Additionally, his "Intelligent soft self-twisted shape sensor" (2023, 3 citations) advances deformable sensors for real-time shape monitoring. With a growing citation record, Liu’s work bridges soft materials and intelligent algorithms, offering scalable solutions for robotics, wearable tech, and spatial awareness. His research is particularly impactful for students and engineers seeking to integrate tactile feedback and robust positioning into next-generation autonomous systems.