Luca Bartolomei
Papers
8
Total Citations
181
H-Index
6
About
Luca Bartolomei is a leading researcher in autonomous aerial robotics, specializing in multi-UAV systems, decentralized exploration, and 3D mapping. His work addresses critical challenges in search-and-rescue, disaster surveying, and autonomous navigation in complex, unknown environments. Bartolomei’s most impactful contribution is the development of **fast, decentralized exploration strategies** for multi-UAV teams, as demonstrated in his highly cited 2023 paper on forest exploration (60 citations). He also pioneered **Voxfield** (2022, 52 citations), a novel non-projective signed distance field framework for online planning and 3D reconstruction, enabling robots to build accurate maps of large-scale environments under tight computational constraints. His research extends to safety-critical applications, including **autonomous emergency landing for multicopters using deep reinforcement learning** (2022, 21 citations), and efficient coverage planning with the **Sweep-Your-Map** system (2022, 15 citations). With over 180 total citations, Bartolomei’s work has significantly advanced the autonomy and coordination of aerial robot teams, making him a key figure in the field of field robotics.
Research Focus
Key Achievements
Top Papers
- 1Fast Multi-UAV Decentralized Exploration of Forests60 citations · 2023
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- 6Decentralised Multi-Robot Exploration Using Monte Carlo Tree Search10 citations · 2023
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