Chengming Ruan
Papers
1
Total Citations
17
H-Index
1
About
Chengming Ruan is a leading researcher in intelligent manufacturing and multi-robot cooperative systems, with a focus on precision calibration and automation. His most cited work, "Base frame calibration for multi-robot cooperative grinding station by binocular vision" (2017), addresses a critical challenge in industrial robotics: the need for repetitive, high-accuracy calibration of base frames in densely distributed robot workcells. Ruan proposed a novel non-contact calibration method using binocular vision, significantly improving the efficiency and accuracy of multi-robot coordination in grinding stations. This contribution has garnered 17 citations, reflecting its practical impact on advanced manufacturing. Beyond this, Ruan’s research spans robotic vision, sensor fusion, and cooperative control, aiming to enhance flexibility and reliability in automated production lines. His work is notable for bridging theoretical calibration algorithms with real-world industrial applications, offering scalable solutions for high-density robot environments. Ruan’s achievements underscore his role in advancing smart manufacturing, making him a key figure for students and researchers interested in robotics, computer vision, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1