Abstract: The problem of designing intelligent robotic applications is often defined as the problem of building an intelligent connection of the perception to action. This talk will provide an overview of this problem in the context of a robot interacting with a human by focusing on how obtaining meaningful information from the human observation and, consequently, how to adapt and model the robot behavior accordingly. This analysis will be conducted by considering different levels of interaction starting from the physical level toward more cognitive and social aspect of the interaction. The talk will present examples from current research projects in the area of socially assistive robotics.
Bio: Silvia Rossi received the M.Sc. degree in Physics from the University of Naples Federico II (Italy), and the Ph.D. degree in Information and Communication Technologies from the University of Trento (Italy). She has been an Assistant Professor with the Department of Electrical Engineering and Information Technologies, University of Naples Federico II, since 2009, where she is currently the Co-Chief Manager of the PRISCA (Intelligent Robotics and Advanced Cognitive System Projects) Laboratory. Her research interests include Multi-agent Systems, Human-Robot Interaction, Socially Assistive Robotics, and Recommender Systems. She is Associate Editor for Pattern Recognition Letters, IEEE Robotics and Automation Letters (RA-L) and for Intelligent Service Robotics. She is the general chair of RO-MAN 2020, and is in the program/organization committee of several international conferences on human-robot interaction, artificial intelligence, and multi-agent systems.
Francesco De Mola – Beyond Industry 4.0: Intelligence for Fully Automated Smart Factory (photo)
Abstract: Nowadays industrial competitiveness is played on the ground of efficiency and interconnection among processes. Standard automation is not enough to compete in challenging scenarios: the pushing of performance to the limits requires pervasive intelligence all over the technologies used to integrate every process and phase. During the talk, an excursus on the main technologies beneath smart factories will be presented based on the experience of Elettric80 S.p.A., ranging from localization, navigation, and coordination of automated vehicles, passing through simulation and 3D supports to design, up to continuous monitoring and predictive maintenance.
Bio: Francesco De Mola received the M.Sc. degree in Computer Engineering from the University of Modena and Reggio Emilia in 2005 and the Ph.D. degree in Information and Communication Technologies – Computer Engineering and Science from the same University in 2008. Since 2008 he is working in the R&D Department of Elettric80 S.p.A., and since 2014 he holds the role of R&D Team Leader. His academic research covered Multi-Agent Systems and agent-based middleware, with application to e-health and emergency response. At present he is responsible for research lines about traffic management of AGV fleets, and for continuous development and support of the related corporate tools and applications adopted in the Automated Warehouse solutions deployed by Elettric80.