Papers
9
Total Citations
382
H-Index
7
About
Davide Calvaresi is a leading researcher at the intersection of eXplainable Artificial Intelligence (XAI), multi-agent systems, and human-robot interaction. His work addresses the critical challenge of making AI-driven systems—from social robots to IoT edge devices—transparent, trustworthy, and ethically sound. Calvaresi’s seminal 2019 systematic literature review on explainable agents and robots has garnered over 218 citations, establishing a foundational framework for the field. He has further advanced XAI through his “quest of parsimonious XAI,” proposing a human-agent architecture that balances explanatory depth with computational efficiency. In healthcare, his agent-based telerehabilitation systems (cited over 70 times collectively) demonstrate practical applications of real-time multi-agent coordination for remote therapy. Calvaresi also explores the ethical dimensions of human-social robot interaction, critically examining how anthropomorphization can blur into manipulation. His recent work on dynamic swarm orchestration for IoT edge devices and principles-based XAI for human-computer interaction continues to shape responsible AI deployment. With a publication record spanning top venues and a growing citation impact exceeding 350, Calvaresi is a pivotal voice in ensuring that autonomous systems remain both intelligible and aligned with human values.
Research Focus
Key Achievements
Top Papers
- 1Explainable Agents and Robots: Results from a Systematic Literature Review218 citations · 2019
- 2
- 3Real-time multi-agent systems for telerehabilitation scenarios41 citations · 2019
- 4
- 5
- 6
- 7
- 8
- 9