Daniele Benedettelli

University of Siena

Papers

5

Total Citations

37

H-Index

4

About

Daniele Benedettelli is a leading figure in both robotics research and LEGO MINDSTORMS education, seamlessly bridging theoretical multi-robot systems with accessible, hands-on building. His primary research focuses on **Simultaneous Localization and Mapping (SLAM)** for teams of mobile robots. Benedettelli’s key contribution is the development of cooperative SLAM algorithms that use **M-Space representation of linear features**, enabling multiple robots to independently map an indoor environment and then fuse their local maps upon rendezvous using robot-to-robot relative observations. This work, published in papers like "Cooperative SLAM using M-Space representation" (11 citations) and "Multi-robot SLAM using M-Space feature representation" (8 citations), provides a scalable solution for collaborative exploration. Beyond academia, Benedettelli is renowned globally as a master LEGO MINDSTORMS builder and author. His books, including *Creating Cool MINDSTORMS® NXT Robots* and *The LEGO MINDSTORMS EV3 Laboratory*, have inspired countless hobbyists and students, teaching them to build and program sophisticated robots from scratch. With over 25 combined citations for his scholarly work and a massive impact on the robotics education community, Benedettelli uniquely combines rigorous theoretical contributions with a passionate dedication to making robotics accessible to all.

Research Focus

Key Achievements

4
H-Index
5
Papers
37
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Cooperative SLAM using -Space representation of linear features
11 citations · 2012
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Siena

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago