Xinying Liu
Papers
1
Total Citations
5
H-Index
1
About
Xinying Liu is a researcher in robotics and computer vision, with a focus on intelligent automation and visual perception systems. Their most-cited work, "Multi-target visual recognition and positioning methods for sorting robots" (2020), addresses critical challenges in industrial robotics—specifically, the recognition and localization of randomly placed, irregularly shaped objects. By proposing a multi-target visual recognition and positioning method integrated with a four-degree-of-freedom DOBOT sorting robot, Liu contributed to enhancing the efficiency and accuracy of automated sorting systems. This work, with 5 citations, demonstrates practical impact in manufacturing and logistics automation. Liu’s research bridges computer vision and robotic manipulation, offering solutions that improve robotic adaptability in unstructured environments. Their contributions are valuable for students and researchers exploring vision-guided robotics, particularly in applications requiring real-time object detection and precise positioning.
Research Focus
Key Achievements
Top Papers
- 1