Mingyang Cheng
Papers
1
Total Citations
12
H-Index
1
About
Mingyang Cheng is a robotics researcher whose work bridges computer vision and autonomous navigation, with a particular focus on practical, real-world applications. His most cited paper, "Design and implementation of a prototype vision-guided golf-ball collecting mobile robot" (2005, 12 citations), exemplifies his ability to integrate vision systems with mobile robotics to solve niche but impactful problems. In this work, Cheng developed a prototype that uses a bird’s-eye view from a ceiling-mounted CCD camera to detect golf balls and guide a robot to collect them autonomously—a clever solution for automating tedious tasks in golf practice fields. While his citation count reflects a focused body of work, his contributions lie in demonstrating how vision-guided control can be applied to service robotics, blending computer vision algorithms with real-time robot navigation. Cheng’s research is particularly valuable for students and engineers interested in the intersection of robotics, image processing, and automation, showcasing how even a single well-designed prototype can inspire further innovation in mobile robot systems.
Research Focus
Key Achievements
Top Papers
- 1