Jingran Yuan
Papers
1
Total Citations
2
H-Index
1
About
Jingran Yuan is a researcher specializing in robotics, automation, and intelligent manufacturing, with a particular focus on trajectory planning and image processing for industrial applications. Their most-cited work, "Research on the trajectory planning method of custom pattern robot based on image processing" (2021), addresses a critical gap in automated spraying technology by developing a method for multi-color, complex customized patterns—such as digital camouflage—which were previously challenging to automate. This contribution bridges the gap between single-color robotic spraying and the growing demand for customized, high-precision surface finishing. Yuan’s work demonstrates a practical integration of computer vision and robotic control, offering a pathway toward more flexible and intelligent manufacturing systems. While their citation count is currently modest, the novelty and applied nature of their research hold significant potential for industries like automotive, aerospace, and defense. Yuan’s focus on solving real-world automation challenges positions them as an emerging voice in the field of robotics and image-guided manufacturing.
Research Focus
Key Achievements
Top Papers
- 1