Title: AI for Sensing and Adaptation in Human-Robot Interaction
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.
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.