Papers
7
Total Citations
32
H-Index
3
About
Huiguang Li is a leading researcher in robotic visual servoing, with a career dedicated to advancing how robots perceive and interact with their environments through vision. His primary research areas include binocular stereo vision, uncalibrated visual servoing, and multi-agent robotic control. Li’s most significant contribution is the development of a novel binocular stereo visual servoing model that eliminates the need for depth information, simplifying the control architecture for eye-in-hand robotic systems. This foundational work, cited 11 times, avoids the complexities of measuring and estimating spatial depth, making real-time visual tracking more efficient. He further advanced the field by introducing an adaptive controller for uncalibrated visual servoing, which operates without prior knowledge of camera parameters, and later integrated neural networks with Cubature Kalman filters to estimate the image Jacobian matrix in stereo systems. His research also extends to distributed containment control for multi-agent robotic systems, employing Hamiltonian theory and binocular vision to achieve position-sensorless coordination. With over 30 citations across his most-cited papers, Li’s work has directly influenced the design of more robust, calibration-free robotic systems, making him a key figure in the evolution of vision-based robot control.
Research Focus
Key Achievements
Top Papers
- 1A New Binocular Stereo Visual Servoing Model11 citations · 2008
- 2Stereo Vision Robot Obstacle Detection Based on the SIFT7 citations · 2010
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- 5Optimal control law of robot based on delta operator in visual servoing3 citations · 2005
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