Elenco Pubblicazioni - Publications (479)

Structural and Thermoanalytical Characterization of 3D Porous PDMS Foam Materials: The Effect of Impurities Derived from a Sugar Templating Process

José Gonzàlez-Rivera, Rossella Iglio, Giuseppe Barillaro, Celia Duce and Maria Rosaria Tinè Polymers 2018, 10 (6), 616; https://doi.org/10.3390/polym10060616 Abstract Polydimethylsiloxane (PDMS) polymers are extensively used in a wide range of research and industrial fields, due…

B. Delalat, C. Cozzi, S. R. Ghaemi, G. Polito, F. H. Kriel, T. D. Michl, F. J. Harding, C. Priest, G. Barillaro, and N. H. Voelcker, Microengineered Bioartificial Liver Chip for Drug Toxicity Screening, Advanced Functional Materials, 2018

Microfluidic 3D cell culture is a promising technology for the screening of drug toxicity profiles. In this study, a bioartificial liver consisting of a surfaceengineered microfluidic silicon chip with microtrenches mimicking hepatic sinusoids is shown…

Cominelli, L., Mazzei, D., & De Rossi, D. E. (2018). SEAI: Social Emotional Artificial Intelligence Based on Damasio’s Theory of Mind. Frontiers in Robotics and AI, 5, 6.

A socially intelligent robot must be capable to extract meaningful information in real time from the social environment and react accordingly with coherent human-like behavior. Moreover, it should be able to internalize this information, to…

Lazzeri, N., Mazzei, D., Cominelli, L., Cisternino, A., & De Rossi, D. E. (2018). Designing the Mind of a Social Robot. Applied Sciences, 8(2), 302.

Humans have an innate tendency to anthropomorphize surrounding entities and have always been fascinated by the creation of machines endowed with human-inspired capabilities and traits. In the last few decades, this has become a reality…

Cominelli, L., Carbonaro, N., Mazzei, D., Garofalo, R., Tognetti, A., & De Rossi, D. (2017). A Multimodal Perception Framework for Users Emotional State Assessment in Social Robotics. Future Internet, 9(3), 42.

In this work, we present an unobtrusive and non-invasive perception framework based on the synergy between two main acquisition systems: the Touch-Me Pad, consisting of two electronic patches for physiological signal extraction and processing; and…