About

Federico Pecora is a prominent robotics and artificial intelligence researcher whose work sits at the intersection of assistive technology, human-robot interaction, and multi-robot coordination. Over two decades, he has made foundational contributions to the development of intelligent systems designed to support elderly and vulnerable populations in domestic environments. Pecora's early career centered on the landmark RoboCare project, which pioneered the integration of robots, sensors, and intelligent software for home-based elder care — work that laid conceptual groundwork still referenced today. This trajectory continued with the highly cited GiraffPlus system (130 citations), which combined social interaction capabilities with long-term physiological and activity monitoring, directly addressing the growing global challenge of aging populations. His research has also tackled the psychological dimensions of assistive technology, recognizing that effective human-robot collaboration demands more than engineering prowess. A distinguishing thread in Pecora's scholarship is cultural competence in robotics — arguing compellingly that personal assistive robots must understand and adapt to culturally diverse behaviors (62 citations). On the systems side, his work on loosely-coupled multi-robot coordination (39 citations) advances practical deployment of robot fleets in real-world settings. With hundreds of cumulative citations, Pecora's research has meaningfully shaped how the field approaches socially aware, context-sensitive autonomous systems.

Research Focus

Key Achievements

23
H-Index
74
Papers
1,430
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
GiraffPlus: Combining social interaction and long term monitoring for promoting independent living
130 citations · 2013
📈 Most Prolific Year: 2014 (9 Papers)
🤝 Key Collaborators: 158
🏛 Institutions: Örebro University, National Academies of Sciences, Engineering, and Medicine, University of Pisa, National Research Council, Sapienza University of Rome

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 34 days ago