Antonio Origlia
Papers
8
Total Citations
52
H-Index
4
About
Antonio Origlia is a leading researcher in human-robot interaction (HRI), specializing in socially assistive and service robotics. His work bridges emotional and attentional regulation, dialogue systems, and personalized long-term engagement, with a focus on creating robots that adapt intelligently to human behavior. His most-cited paper, "Attentional and emotional regulation in human-robot interaction" (2012, 17 citations), pioneers a system that uses arousal and predictability to modulate robotic behavior, laying groundwork for emotionally aware machines. Origlia is the principal architect of the BRILLO project, a robotic bartending platform designed for personalized, long-lasting interactions—detailed in two key papers (2021, 11 citations; 2025, 3 citations). He also led the SUGAR task at EVALITA 2018 (10 citations), developing a voice-controlled robotic cooking assistant using authentic spoken data. His contributions extend to gamified discrimination tests for children (2017, 5 citations), proactive assistive robots via Bayesian frameworks (2024, 2 citations), and cultural heritage presentations with humanoid robots (2016, 2 citations; 2024, 2 citations). With over 50 total citations, Origlia’s work is foundational for emotionally adaptive, context-aware robots in real-world service and assistive roles.
Research Focus
Key Achievements
Top Papers
- 1Attentional and emotional regulation in human-robot interaction17 citations · 2012
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- 5BRILLO: Personalised HRI with a Bartender Robot3 citations · 2025
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