Xinjun Liu

Tsinghua University, Chinese Academy of Sciences, Shenyang Institute of Computing Technology (China)

Papers

Total Citations

H-Index

About

Xinjun Liu is a researcher specializing in robotics, intelligent manufacturing, and machine vision, with a focus on advancing automation in industrial and textile applications. His most cited work, "Error modeling and sensitivity analysis of a parallel robot with SCARA motions" (2014, 50 citations), provides foundational insights into precision and reliability in robotic systems, contributing to the design of more accurate parallel robots for assembly tasks. Liu also explores the integration of smart technologies in traditional industries, as seen in his 2020 study on "The Design of Intelligent production line for Clothing Industry," which proposes hardware and management architectures to modernize textile production. Additionally, his 2021 paper on "A Robot 3D Grasping Application Based on Binocular Vision System" addresses the challenge of six-degree-of-freedom pose estimation for weakly textured objects, offering a novel feature-region distribution method to enhance robotic grasping in complex environments. Through these contributions, Liu demonstrates a commitment to bridging theoretical robotics with practical, industry-driven solutions, impacting fields from precision manufacturing to automated garment production.