Developmental Robotics A. Cangelosi, M. Schlesinger
Inizio: 2/9/2020, Fine: 25/12/2020
This module aims at developping an in-depth discussion and understanding of the field of developmental cognitive robotics. This is the field of cognitive and intelligent robotics that takes direct inspiration from child psychology theories and findings to design the acquisition of sensorimotor and cognitive skills in robots. The module will discuss the principles of developmental robotics and will review the application of robotics models and techniques in areas ranging from intrinsic motivation to motor and perceptual learning, social interaction, language learning and abstract knowledge. The module will also explicitly discuss the main theories and findings from developmental psychology and neuroscience which have directly inspired the developmental robotics models. The module will also introduce students to the main concepts in robotics technology and the main robot platforms and simulators used for in developmental robotics. The module is suitable both for robotics and computer science students, as well as cognitive scientists and psychologists interested in computational models of cognition and behavior. It is also an option in the final year of a BSc/MSc degree in robotics, computer science, as well as for degree courses in psychology, anthropology, cognitive sciences. Part of the course have been realized with prof. Matthew Schlesinger.
Prof. Angelo Cangelosi
Professor Angelo Cangelosi leads the "Adaptive behaviour & Cognition" research group in the School of Computing, Communications and Electronics. His main interest is in the area of language modelling and cognitive robotics, with projects ranging from simulation models of the evolution of communication, to robotic model of language acquisition and human-robot interaction, neural network models of spatial language and quantifiers, and models for the evolution of morphology and embodied cognition. The main epistemological approach underlying his research is the study of natural cognitive systems (e.g. animal, humans babies and adults) to inform the design of cognitive and linguistic capabilities in artificial systems (e.g. robots and intelligent agents). Prof. Cangelosi has produced numerous publications in the top raking artificial intelligence and cognitive science journals, is associated editor of the journals "Connection Science" and "Frontiers in Neurorobotics", and editorial board member for the journals "Interaction Studies", and "Journal of Neurolinguitics", and has chaired various international conferences such as the 6th International Conference on the Evolution of Language (Rome, 2006) and the 9th Neural Computation and Psychology Workshop (Plymouth, 2004). He has also co-edited four volumes including Simulating the Evolution of Language (Springer, 2002) and Modeling Language Cognition and Action (World Scientific 2005).
Prof. Matthew Schlesinger
Matt Schlesinger is Associate Professor of Psychology an Adjunct Associate Professor of Electrical and Computer Engineering at Southern Illinois University. He is director of Vision Lab a research facility in the SIU Department of Psychology.
His interests in studying vision can be traced back to his graduate work in the 1990's, where he studied visual perception in 6-month-old infants. Through a series of fortunate events, he also became very interested in neural network models of vision. After earning his doctorate, he enjoyed a remarkable year in Rome at the Italian National Research Council, where he worked with Domenico Parisi, Stefano Nolfi, Angelo Cangelosi, and several other bright, young researchers (e.g., Gianluca Baldassarre, Aldo Genovese, and Elio Tuci).
Fast-forward to 2000: in Y2K he became an assistant professor of psychology in the Brain and Cognitive Sciences Program at Southern Illinois University. He started here with the ambition to build an infant lab but soon discovered that "they just don't make babies fast enough in Carbondale!"
University of Plymouth (UK)
School of Computing and Mathematics (Faculty of Science & Environment)