Papers
71
Total Citations
1,527
H-Index
23
About
Giovanni Beltrame is a leading researcher in swarm robotics, multi-robot systems, and autonomous navigation, whose work has fundamentally advanced how teams of robots collaborate in GPS-denied and challenging environments. His most celebrated contribution, Swarm-SLAM (2023), introduced an open-source decentralized framework enabling multiple robots to jointly map unknown environments — a breakthrough that has already garnered 143 citations in just two years. Alongside this, his development of Buzz (2016, 106 citations), an extensible programming language tailored for heterogeneous robot swarms, gave the robotics community a powerful new tool for designing coordinated swarm behaviors from both individual and collective perspectives. Beltrame's impact extends to high-stakes real-world deployment: his involvement with TEAM CoSTAR's NeBula system contributed to winning Phase II of the prestigious DARPA Subterranean Challenge, demonstrating robotic autonomy in tunnels, urban ruins, and cave networks. His survey on Collaborative SLAM (2022) and work on UWB-based position tracking further cement his role as a foundational voice in the field. With contributions spanning planetary exploration, area coverage, and decentralized shape formation, Beltrame's research consistently bridges theoretical innovation with practical, deployable robotics solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Buzz: An extensible programming language for heterogeneous swarm robotics106 citations · 2016
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- 6Accurate position tracking with a single UWB anchor65 citations · 2020
- 7
- 8Robust Area Coverage with Connectivity Maintenance48 citations · 2019
- 9
- 10Decentralized progressive shape formation with robot swarms42 citations · 2018