Gao Ming
Papers
1
Total Citations
2
H-Index
1
About
Gao Ming is a pioneering researcher in the field of robotics and computer vision, with a primary focus on calibration methodologies for robotic systems. His most notable contribution is the development of the "Robot Extended Eye-in-hand Calibration Method Based on an Assistant Camera," a groundbreaking approach that addresses the complex challenge of accurately determining the position and orientation of objects held by a robot relative to a camera. By extending traditional eye-in-hand calibration to incorporate an assistant camera, Gao Ming introduced an "extended hand-eye relationship," significantly enhancing precision in robotic manipulation tasks. This work, published in 2008, has garnered 2 citations, reflecting its foundational role in advancing calibration techniques. Gao Ming's research is instrumental in improving the reliability and accuracy of robotic systems, particularly in automated manufacturing and assembly processes. His innovative methods continue to influence modern robotics, offering practical solutions for real-world applications where precise object localization is critical.
Research Focus
Key Achievements
Top Papers
- 1