Robot cognition

12 ottobre 2015
October 12, 2015
Contatti: 
DII - Dipartimento di Ingegneria Industriale
via Sommarive, 9 - 38123 Povo, Trento
Tel. 
+39 0461 282500 - 2503
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fax +39 0461 281977

Monday October 12th 2015, 10:00-12:00 a.m.

Venue: B105 room, Department of Industrial Engineering,  via Sommarive 9, Povo - Trento

  • Serge Thill, University of Skövde

In the first seminar, I focussed on human cognition and the relevance of cognitive science in robotics in general, and human-robot interaction in particular. In this seminar, I will give an overview of machine and robotic implementations of cognitive mechanisms, including cognitive architectures (and the different types thereof) in general, and specific mechanisms (such as symbol grounding, mirror mechanisms, affordances, and simulation abilities) in particular.

Short bio:

Serge Thill is an associate professor of cognitive science at the University of Skövde, Sweden. Thill currently heads the Interaction Lab research group at the school of informatics. His main research interests are in natural and artificial cognition, in particular as manifested in the interaction between such agents.

He holds a Bachelor of Science (with Honours) in Cognitive Science from the University of Exeter, a Master in Informatics from the University of Edinburgh, and a PhD from the department of engineering at the University of Leicester. He joined the University of Skövde in 2008, first as a post-doc, then as a senior lecturer, and, since January 2014, in his current role.

He has co-authored the EU FP7 integrated project "DREAM" (www.dream2020.eu) on robot-enhanced therapy for children with autism spectrum disorder. He co-coordinates (with Tom Ziemke) the Swedish research initiative "AIR", on action and intention recognition between humans and automated technology in shared physical spaces and has been/is the PI for two projects (CARS and TIEB), on human interaction with cars, funded nationally.

The poster is on the dowload box.

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application/pdfRobot cognition 12.10.15 Seminar(PDF | 343 KB)