About

Massimo Esposito is a leading voice in human-robot interaction, with a research focus on making robots more intuitive and trustworthy in real-world settings. His most cited work, a 2023 experimental study on anthropomorphic interaction in museums (29 citations), demonstrates how social robots can engage visitors by mimicking human-like behaviors, making cultural exhibits more accessible. Esposito’s 2023 paper on robotic health advisors for older adults (26 citations) tackles a critical societal challenge: whether people trust robots for health advice, revealing key factors that influence acceptance among aging populations. As an editor of a 2024 collection on AI and robotic applications for smart healthcare monitoring, he has helped shape the discourse on how these technologies can enhance clinical decision-making and patient care. His brain-inspired robotic architecture work (2023) further pushes boundaries by modeling conceptual development—how robots can learn and categorize like humans. With a career bridging technical innovation and human-centered design, Esposito’s contributions are vital for deploying robots in sensitive domains like healthcare and education, where trust and natural interaction are paramount.

Research Focus

Key Achievements

3
H-Index
4
Papers
60
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Towards a more anthropomorphic interaction with robots in museum settings: An experimental study
29 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Institute for High Performance Computing and Networking, National Research Council, National Academies of Sciences, Engineering, and Medicine

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago