Lecturer: Giulia Belgiovine
Fields: Artificial Intelligence, Human-Robot Interaction
Content
The study of human-robot interaction is a vast and intricate field that adopts a multidisciplinary approach and encompasses numerous challenges. On the one hand, the quest to comprehend and model the intricate mechanisms underlying human cognitive and social abilities; on the other hand, the problem of how to replicate a comparable level of intelligence in cognitive interactive agents. Achieving this necessitates the integration of sensory and motor capabilities, along with memory, reasoning, and learning mechanisms, to develop artificial agents endowed with adaptation and generalization skills.
In these lectures, we will explore the interdisciplinary nature of this field, discussing the challenges and opportunities that lie ahead.
Lecturer
Giulia Belgiovine is a postdoctoral researcher at the COgNiTive Architectures for Collaborative Technologies (CONTACT) unit of the Italian Institute of Technology, Genoa, Italy. Her research investigates how to develop cognitive architectures for social robots to promote better human-robot interactions and how to foster robots’ autonomous learning and adaptive behavior. Her research interests include multiparty interactions, assistive robotics, and lifelong learning.
Affiliation: Italian Institute of Technology