Papers
6
Total Citations
112
H-Index
4
About
Vittorio Rampa is a prominent researcher whose work bridges wireless sensing, human-robot collaboration, and distributed machine learning — fields of growing importance in modern industrial and networked environments. His most influential contribution, "Device-Free Human Sensing and Localization in Collaborative Human–Robot Workspaces" (2015, 56 citations), established a compelling framework for protecting workers in hybrid production environments by using radio signals to monitor human movement without requiring the operator to carry any device. Building on this foundation, his 2014 work on sensor-less radio localization further demonstrated the practical viability of flexible, safety-oriented human-robot cooperation systems. More recently, Rampa has turned his expertise toward the intersection of federated learning and industrial communications, exploring how machine learning can be deployed efficiently across decentralized networks. His 2020 paper on joint federated learning and communications frameworks (22 citations) and his 2021 analysis of the energy and carbon footprint of distributed edge learning (14 citations) reflect a forward-thinking awareness of both technical and environmental challenges in AI deployment. Spanning radar sensor fusion, wireless body motion recognition, and green AI, Rampa's body of work marks him as a versatile and socially conscious contributor to next-generation industrial intelligence.
Research Focus
Key Achievements
Top Papers
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- 3Safe human-robot cooperation through sensor-less radio localization16 citations · 2014
- 4
- 5Wireless Sensing for Device-Free Recognition of Human Motion2 citations · 2017
- 6