Papers
7
Total Citations
311
H-Index
6
About
Guo-Qing Wei is a robotics and computer vision researcher whose work has made significant contributions to surgical robotics, visual servoing, and camera calibration. He is perhaps best known for his pioneering research in laparoscopic surgical robotics, where his 1997 paper on real-time visual servoing — now cited over 150 times — introduced a robust color-based tracking method for stereo laparoscopes capable of operating at near real-time speeds. This work, complemented by his contemporaneous research on color-coded instrument tracking, helped lay important groundwork for autonomous control in minimally invasive surgery. Beyond surgical applications, Wei has made notable contributions to camera self-calibration, developing active motion-based methods for robotic hand-eye systems that elegantly solve the complex problem of estimating camera and mounting parameters without requiring known reference points. His 1998 paper on this topic has earned over 60 citations. Wei has also explored the intersection of machine learning and robotics, applying neural networks to sensorimotor coordination and motion learning from images, seeking to reduce reliance on manual calibration. Taken together, his body of work reflects a sustained commitment to making robotic perception and manipulation more adaptive, autonomous, and clinically viable.
Research Focus
Key Achievements
Top Papers
- 1
- 2Automatic tracking of laparoscopic instruments by color coding64 citations · 1997
- 3
- 4Sensorimotor coordination and sensor fusion by neural networks18 citations · 2002
- 5
- 6Learning motion from images6 citations · 2003
- 7Perception and Manipulation in Robotics: Neural Network Approaches3 citations · 1996