Papers
45
Total Citations
3,022
H-Index
23
About
Ezio Malis is a prominent robotics and computer vision researcher whose work has fundamentally shaped the field of visual servoing — the use of visual feedback to guide robotic systems. Best known for pioneering the concept of "2½D visual servoing," introduced in a landmark 1999 paper that has accumulated over 940 citations, Malis elegantly bridged the gap between position-based and image-based control approaches, enabling robust robot guidance without requiring full 3D geometric models of target objects. This foundational contribution was further extended through refined camera displacement estimation techniques and frameworks invariant to changes in camera-intrinsic parameters, broadening practical applicability considerably. A recurring theme in Malis's research is computational efficiency and mathematical rigor. His development of second-order minimization techniques for vision-based control, cited nearly 260 times, significantly improved convergence rates and system performance. He also advanced homography-based visual tracking methods, demonstrating their effectiveness for both planar and omnidirectional sensors. Beyond pure visual servoing, Malis has explored sensor fusion, combining visual and force feedback through impedance control, and investigated time-of-flight cameras for 3D robotic mapping and SLAM. With a body of work exceeding 2,000 cumulative citations, Malis remains an influential figure whose contributions continue to underpin modern visually guided robotic systems.
Research Focus
Key Achievements
Top Papers
- 12 1/2 D visual servoing943 citations · 1999
- 2Homography-based 2D Visual Tracking and Servoing326 citations · 2007
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- 5Visual Servoing Invariant to Changes in Camera-Intrinsic Parameters146 citations · 2004
- 6Three‐dimensional mapping with time‐of‐flight cameras120 citations · 2009
- 7Impedance based combination of visual and force control97 citations · 2002
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- 10Homography-based 2D visual servoing65 citations · 2006