Papers
9
Total Citations
405
H-Index
6
About
Michelangelo Fiore is a leading researcher in socially aware human-robot interaction (HRI), whose work focuses on enabling robots to navigate and collaborate with humans in natural, safe, and intuitive ways. His most impactful contribution is the SPENCER project, a socially compliant service robot designed to guide passengers through busy airports, which has garnered over 260 citations. Fiore’s research addresses critical challenges in HRI, including robust multimodal communication—integrating speech and gestures—and adaptive, proactive guidance systems that monitor user attention and adjust behavior accordingly. He has also pioneered frameworks for human-aware collaborative planning, where robots dynamically adapt their actions based on a human’s knowledge, attentional state, and task progress, ensuring effective teamwork. His work on attentional supervision and contention scheduling allows robots to flexibly manage complex, cooperative plans in real time. With publications spanning top venues, Fiore’s integrated architectures for cognitive and interactive robots have set benchmarks for creating machines that not only understand human intent but also proactively support and engage with people in dynamic, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2An extensible architecture for robust multimodal human-robot communication48 citations · 2013
- 3On Planning and Task Achievement Modalities for Human-Robot Collaboration46 citations · 2015
- 4An Adaptive and Proactive Human-Aware Robot Guide14 citations · 2015
- 5Attentional supervision of human-robot collaborative plans11 citations · 2016
- 6Simulating Human-Robot Interactions for Dialogue Strategy Learning10 citations · 2014
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