On Thursday 19th of May from 16.30 to 18.30, Prof. Dimitri Ognibene will host Prof. Silvia Rossi from the University of Naples Federico II (Department of Electrical Engineering and Information Technology) for a talk entitled “User Profiling and Behaviour Adaptation for Socially Assistive Robotics“.
I would be grateful if you could share this information with any interested student or colleague.
Bio – Prof. Silvia Rossi is Associate Professor in Computer Science and co-head of the PRISCA (Intelligent Robotics and Advanced Cognitive System Projects) lab. She received the M.Sc. degree in Physics from the University of Naples Federico II, Italy, in 2001, and the Ph.D. in Information and Communication Technologies from the University of Trento, Italy, in 2006. She is Associate Editor for IEEE Robotics and Automation Letters (RA-L), the International Journal of Social Robotics, and for Intelligent Service Robotics journal. She is the general chair of RO-MAN 2020 and RO-MAN 2022, Program Chair of ICSR 2020, Workshop/Tutorial co-Chair of HRI 2019. Prof. Rossi has been involved in several EU and non-EU projects. She is currently the principal investigator and coordinator of the MSCA-ITN-2020 PERSEO (European Training Network on Personalized Robotics as Service Oriented applications) and of the national project BRILLO – Bartending Robot for Interactive Long-Lasting Operations (2019-2022). She was the Principal Investigator of UPA4SAR (User-centred Profiling and Adaptation for Socially Assistive Robotics), founded by the Italian Ministry of Education, University and Research (2017-2020); Scientific Coordinator of the national project AVATEA – Advanced Virtual Adaptive Technologies for e-hEAlth (2019-2020). Her research interests include Multi-agent Systems, Human-Robot Interaction, Cognitive Architectures, Behavior-based Robotics, and User Profiling and Recommender Systems.
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 to obtain meaningful information from the human observation and, consequently, how to adapt and model the robot behavior accordingly in different healthcare settings. In particular, the UPA4SAR project aimed to design an adaptive behavior of a robotic system that is in charge of monitoring the user’s Activity of Daily Living (ADL) in the case of people with dementia. In our opinion, the robot presence, in order to be effective and well accepted by users, must be the least invasive as possible. In fact, an interactive robotic device whose behavior is unrelated to the specific needs of a person, his/her abilities and preferences can cause discomfort. The majority of the robotic applications are based on static user models and on the specification of all the possible contexts of interaction. This makes such systems incapable of adapting independently and proactively to changes in the needs and preferences of users. In this direction, our goal is to design an adaptive behavior of the robotic system that is able to regulate its social interaction parameters (e.g., the interaction distances, proxemics, the speed of movements, and the same modality of interaction) on the basis of personality factors as well as of the cognitive state of the user. The talk will provide an overview of the project focusing on how obtaining a profile of the user and, consequently, the robot behavior adaptation at different levels of abstraction starting from the physical level toward more cognitive and social aspects of the interaction.
For further information, please contact Prof. Ognibene directly.
Virtual meeting details:EoHTI Seminar - Prof Silvia Rossi - User Profiling and Behaviour Adaptation for Socially Assistive Robotics
Thursday, 19 May · 4:30 – 6:30pm
Google Meet joining info
Video call link: https://meet.google.com/xxg-ygxp-org
Or dial: (IT) +39 02 3041 9693 PIN: 410 562 340#
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