Andrea Ferlini

Papers

Total Citations

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About

Andrea Ferlini is a researcher at the forefront of distributed artificial intelligence and wearable sensing systems. Her work bridges the gap between edge-to-cloud computing and autonomous robotics, with a particular focus on enabling intelligent, decentralized coordination in mobile systems. Ferlini’s most cited paper, “C-Continuum: Edge-to-Cloud computing for distributed AI” (7 citations), addresses the critical challenge of deploying AI across autonomous air-ground vehicles, a technology poised to transform manufacturing, defense, and everyday transport. She also pioneers innovation in earables, as seen in “Enabling In-Ear Magnetic Sensing” (7 citations), where she developed automatic, user-transparent magnetometer calibration—a breakthrough for stable, upper-body sensing platforms. In robotics, her work on “Leader-Follower Formations on Real Terrestrial Robots” (4 citations) proposes a lightweight decentralized solution for controlling robot formations, with applications from truck platooning to autonomous parcel delivery. Ferlini’s contributions are notable for their practical, real-world impact, combining theoretical rigor with deployable systems. Her research not only advances the state of the art in distributed AI and wearable sensing but also lays the groundwork for the next generation of autonomous, cooperative machines.