Papers

31

Total Citations

706

H-Index

15

About

Antonio Vicino is a distinguished researcher whose work spans autonomous robotics, mobile robot navigation, and control systems theory. He is best known for his foundational contributions to Simultaneous Localization and Mapping (SLAM), where his algorithms for line-based environment representation and set-theoretic estimation approaches have significantly advanced how robots perceive and navigate unknown environments. His most cited work, a 2006 paper on SLAM for line-based environments (125 citations), demonstrates elegant solutions to one of robotics' most challenging problems, while his collaborative research on multi-robot SLAM using set membership methods (81 citations) pioneered cooperative localization strategies for robot teams. Vicino's expertise extends into visual servoing, addressing the notoriously difficult challenge of large camera displacements and straight-line path planning for robotic manipulators (76 citations combined). His early work on robust stability analysis for uncertain linear dynamical systems reflects a deep grounding in classical control theory that underpins his robotics research. Beyond theoretical contributions, Vicino has demonstrated a commitment to education, developing remote laboratories enabling students worldwide to experiment with real mobile robots through platforms like LEGO Mindstorms and MATLAB. This blend of rigorous research and innovative pedagogy makes him a well-rounded and impactful figure in the robotics and control engineering community.

Research Focus

Key Achievements

15
H-Index
31
Papers
706
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Mobile robot SLAM for line-based environment representation
125 citations · 2006
📈 Most Prolific Year: 2003 (4 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University of Siena, University of Florence, Gestione Sistemi per l’Informatica (Italy)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago