Papers

21

Total Citations

134

H-Index

6

About

Umberto Maniscalco is a researcher whose work sits at the fascinating intersection of social robotics, human-robot interaction, and cognitive systems. His research spans several interconnected domains, including anthropomorphic robot design, artificial somatosensory systems, and the deployment of robots in real-world settings such as museums and medical care environments. Among his most significant contributions is his exploration of how multimodal communication — encompassing visual, auditory, tactile, and proxemic signals — can make human-robot interactions feel more natural and engaging. His 2023 study on museum robotics (29 citations) demonstrates how anthropomorphic design principles can enhance visitor experiences in cultural settings, while his work on bidirectional interaction models (18 citations) advances our understanding of engagement dynamics between humans and machines. Maniscalco has also made notable strides in embodied robotics, developing artificial somatosensory systems that allow robots to simulate sensations like pain and pleasure, lending them more lifelike, responsive behaviors. His NarRob storytelling robot and contributions to robot-aided medical care further illustrate the breadth of his applied research. With over 100 cumulative citations, his work continues to shape how researchers and practitioners think about building robots that can genuinely connect with people.

Research Focus

Key Achievements

6
H-Index
21
Papers
134
Total Citations
6
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: 2017 (6 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Institute for High Performance Computing and Networking, National Research Council, University of Palermo

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago