dr. S. Thill (Serge)
Universitair hoofddocent - Artificiële intelligentie
Associate Principal Investigator - Donders Centre for Cognition
Associate Principal Investigator - Donders Institute for Brain, Cognition and Behaviour
Thomas van Aquinostraat 4
6525 GD NIJMEGEN
6500 HE NIJMEGEN
I am a cognitive scientist with a background in computational modelling and computational neuroscience. I am interested in human cognition in the context of interaction with different artificial cognitive systems (including robots and smart vehicles). To me, such agents currently provide some of the most exciting opportunities to further our understanding of cognition, both by studying how humans interact with them and by validating models of human cognition through implementation in artificial agents that can interact with humans.
My work thus spans a range of disciplines, from theoretical cognitive science (in particular theories of embodiment and how these relate to machine intelligence) over language and concept grounding to (neuro)-computational models of cognitive mechanisms and practical applications in, for example, autonomous vehicles and robots for therapy for children with autism spectrum disorder.
- 2017 - 2020 Dreams4Cars has as its main objective of Dreams4Cars to set up an offline simulation mechanism in which robots by recombining aspects of real-world experience, can produce an emulated world, with which they can collectively interact to safely develop and improve their Perception-Action systems, in particular focusing on the analysis of rare events. Meer informatie
- 2014 - 2018 DREAM is an EC-funded project that will deliver the next generation robot-enhanced therapy (RET). It develops clinically relevant interactive capacities for social robots that can operate autonomously for limited periods under the supervision of a psychotherapist. DREAM will also provide policy guidelines to govern ethically compliant deployment of supervised autonomy RET. The core of the DREAM RET robot is its cognitive model which interprets sensory data (body movement and emotion appearance cues), uses these perceptions to assess the child’s behaviour by learning to map them to therapist-specific behavioural classes, and then learns to map these child behaviours to appropriate robot actions as specified by the therapists. Meer informatie