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About

Yuxia Cui is a robotics researcher whose work focuses on solving fundamental challenges in industrial robot control, path planning, and autonomous navigation. Her research addresses critical issues in robot kinematics, motion optimization, and visual perception for both industrial manipulators and autonomous mobile robots. Cui’s most cited work, “A New Method for Solving Inverse Kinematics of an Industrial Robot” (2012, 14 citations), presents an innovative approach to deriving inverse kinematics for 6R robots by separating the robot base movement from actuator replacement, simplifying complex matrix calculations. She has also made significant contributions to path planning, notably developing a velocity potential field method that reduces local oscillation in manipulators (2023, 11 citations) and creating an optimized offline programming system using DXF file extraction (2012, 5 citations). In the realm of autonomous robotics, Cui has advanced visual SLAM with a lightweight odometry method based on LK optical flow tracking (2023, 4 citations) and improved scene recognition through a novel feature point matching algorithm that fuses FREAK and rRBRIEF descriptors (2022, 2 citations). Her work bridges theoretical kinematics with practical industrial applications, contributing to the growing field of human-robot collaboration and intelligent manufacturing.