Dongyu Wei
Papers
1
Total Citations
4
H-Index
1
About
Dongyu Wei is a researcher whose work lies at the intersection of robotics, computer vision, and intelligent manufacturing. His primary research focus is on vision-guided robotic systems, particularly the calibration and positioning challenges that underpin autonomous industrial automation. In his most cited work, "An Integrated Camera Parameters Calibration Approach for Robotic Monocular Vision Guidance" (2019), Wei addresses a fundamental problem in robotics: accurately determining a robot’s position and orientation within its working environment using monocular vision. This approach leverages optical sensors to extract vast amounts of data, enabling precise guidance without the complexity of stereo systems. With 4 citations, this paper has contributed to advancing practical calibration methods for industrial robots. Wei’s work is notable for bridging theoretical calibration models with real-world robotic applications, offering solutions that improve accuracy and efficiency in automated manufacturing. His research continues to support the development of more intelligent, sensor-driven robotic systems, making him a valuable contributor to the field of vision-based robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1