Papers
14
Total Citations
485
H-Index
10
About
Christophe Collewet is a leading researcher in robotics and computer vision, best known for pioneering **photometric visual servoing**. His major contribution is a paradigm shift: instead of relying on classical geometric features like points or lines, he proposed using the **luminance of every pixel in an image** to directly control robot motion. This breakthrough, detailed in his highly cited 2011 paper (207 citations), eliminates the need for complex image processing and feature extraction. His 2008 work (82 citations) further demonstrated how this approach can be "set free" from traditional image processing bottlenecks. Collewet also advanced **structured light** techniques, using laser pointers and camera-projector systems to make visual servoing independent of object appearance—critical for industrial and agricultural robotics. Notably, he applied these methods to **medical robotics**, such as automatic ultrasound probe guidance using B-mode image moments. With over 460 total citations, Collewet’s work has fundamentally simplified and robustified robot positioning, making visual servoing more practical for real-world applications where objects have complex or unknown shapes.
Research Focus
Key Achievements
Top Papers
- 1Photometric Visual Servoing207 citations · 2011
- 2Visual servoing set free from image processing82 citations · 2008
- 3An approach to visual servoing based on coded light39 citations · 2006
- 4Using image gradient as a visual feature for visual servoing32 citations · 2010
- 5A contour approach for image-based control on objects with complex shape29 citations · 2002
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- 8Robust decoupled visual servoing based on structured light12 citations · 2005
- 9A Camera-Projector System for Robot Positioning by Visual Servoing12 citations · 2006
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