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How to turn a robot into a *social* robot? From perspective taking to human-aware task planning, this seminar will cover several key aspects of symbolic social cognition for human-robot interaction. I will show in particular how symbolic reasoning enables us to integrate multi-modal social signals with common-sense knowledge to eventually create rich, autonomous human-robot interactions. I will present as well a range of experimental results, with a special focus on child-robot interaction.
Dr Séverin Lemaignan is currently Research Fellow in Human-Robot Interaction at Plymouth University. Previously, he obtained his PhD in Cognitive Robotics from the CNRS/LAAS (France) and the Technical University of Munich (Germany), and then conducted his research as Research Fellow at EPFL (Switzerland). His research interests primarily concern the socio-cognitive aspects of human-robot interaction, both from the perspective of the human cognition and the design of cognitive architectures for the robots.
He focuses his experimental work on child-robot interactions in educative settings, exploring how robots can support teachers and therapists to develop effective and engaging novel learning paradigms.
He currently works on Theory of Mind modelling for social robots in the EU H2020 Marie-Sklodowska Curie DoRoThy project.