Dr Nick Hawes

Reader in Autonomous Intelligent Robotics

School of Computer Science
University of Birmingham
Edgbaston, Birmingham, B15 2TT
United Kingdom

Email: n.a.hawes@cs.bham.ac.uk
Twitter: @hawesie
Phone: +44 (0) 121 41 43739
Office: 133 (first floor, back right)
Office Hours: Mon 12:00, Tues 11:00 (term-time only)
Availability: Doodle MeetMe
[zillichetal2013hri] Zillich, Michael, Zhou, Kai, Skovcaj, Danijel, Kristan, Matej, Vrevcko, Alen, Jan'ivcek, Miroslav, Kruijff, Geert-Jan M., Keller, Thomas, Hanheide, Marc, Hawes, Nick and Mahnivc, Marko. Robot George: Interactive continuous learning of visual concepts. In Proceedings of the 8th ACM/IEEE international conference on Human-Robot Interaction (HRI '13), pages 425--426, IEEE Press. March 2013. [pdf] [bib]
Abstract. Interactive continuous learning is an important characteristic of a cognitive agent that is supposed to operate and evolve in an everchanging environment. In the video we present an integrated system for learning visual concepts in dialogue with a tutor. We designed and implemented the representations and mechanisms that are needed in such a continuous learning process. We implemented an approach for modelling beliefs that are created by processing visual and linguistic information. Based on the detected knowledge gaps represented in the beliefs, the motivation and planning mechanism implements four types of interaction for learning. The implemented mechanisms are briefly outlined in this document and references to the papers that contain more in-depth descriptions are also given.
Download:  pdf pdf (60 KB)  bib bib
Links: [Google Scholar] [CiteSeer]
This was the paper submitted to HRI '13 describing the video for the CogX Year 4 George system. The video can be watched here.