Pietro Peliti
Papers
2
Total Citations
38
H-Index
2
About
Pietro Peliti’s research lies at the intersection of multi-robot systems, cooperative control, and relative localization, with a particular focus on heterogeneous teams composed of aerial and ground vehicles. His work addresses a fundamental challenge in robotics: enabling a single Unmanned Aerial Vehicle (UAV) to coordinate with multiple identical Unmanned Ground Vehicles (UGVs) when the UAV cannot distinguish one UGV from another. In his most-cited paper (2013, 20 citations), Peliti introduced a novel localization method using a Probability Hypothesis Density (PHD) filter to solve this identity-ambiguous problem, allowing the UAV to estimate the positions of all UGVs without explicit tags or identifiers. Building on this, his 2014 paper (18 citations) proposed a cooperative control scheme that leverages the UAV’s supervisory perspective and the UGVs’ ground-level mobility to achieve coordinated team behaviors. These contributions are foundational for applications in search-and-rescue, environmental monitoring, and warehouse logistics, where heterogeneous robot teams must operate with minimal sensing infrastructure. Peliti’s work is notable for its elegant handling of real-world constraints—such as limited communication and sensor ambiguity—making it highly relevant for practitioners designing scalable, robust multi-robot systems.
Research Focus
Key Achievements
Top Papers
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