Papers
15
Total Citations
327
H-Index
7
About
Vincenzo Caglioti is a leading researcher in autonomous mobile robotics, computer vision, and multi-robot systems, with a career dedicated to enabling robots to perceive, map, and navigate their environments with minimal uncertainty. His foundational work on information-based exploration strategies, first introduced in 2003 and culminating in a highly cited 2009 paper (106 citations), provides a principled framework for mobile robots to autonomously decide where to move next to maximize map-building efficiency. Caglioti further advanced multi-robot coordination through his minimum-entropy approach to distributed localization (2006, 35 citations), allowing teams of robots to cooperatively estimate their positions with unprecedented scalability and accuracy. His contributions extend to human-robot interaction, notably developing Kinect-based people detection and tracking from low-profile ground robots (2014, 46 citations), and creating an interactive Augmented Reality tool for visualizing and debugging complex multi-robot behaviors (2014, 46 citations). Caglioti has also made notable advances in 3D scene reconstruction from single 2D images, including the localization of straight lines using catadioptric cameras. With over 300 total citations, his work bridges theoretical rigor and practical implementation, offering essential tools for any researcher building autonomous systems that must explore, understand, and interact with the real world.
Research Focus
Key Achievements
Top Papers
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- 5Minimum uncertainty explorations in the self-localization of mobile robots23 citations · 1998
- 6On the Localization of Straight Lines in 3D Space from Single 2D Images22 citations · 2005
- 7A MOBILE ROBOT MAPPING SYSTEM WITH AN INFORMATION-BASED EXPLORATION STRATEGY19 citations · 2004
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- 9An information-based criterion for efficient robot map building5 citations · 2003
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