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

7
H-Index
15
Papers
327
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
An information-based exploration strategy for environment mapping with mobile robots
106 citations · 2009
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Politecnico di Milano, IT+Robotics (Italy), Centre for Artificial Intelligence and Robotics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago