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
[klenketal11acs] Matthew Klenk, Nick Hawes and Kate Lockwood. Representing and Reasoning About Spatial Regions Defined by Context. In AAAI Fall 2011 Symposium on Advances in Cognitive Systems. November 2011. [pdf] [bib]
Abstract. In order to collaborate with people in the real world, cognitive systems must be able to represent and reason about spatial regions in human environments. Consider the command "go to the front of the classroom". The spatial region mentioned (the front of the classroom) is not perceivable using geometry alone. Instead it is defined by its functional use, implied by nearby objects and their configuration. In this paper, we define such areas as context-dependent spatial regions and propose a method for a cognitive system to learn them incrementally by combining qualitative spatial representations, semantic labels, and analogy. Using data from a mobile robot, we generate a relational representation of semantically labeled objects and their configuration. Next, we show how the boundary of a context-dependent spatial region can be defined using anchor points. Finally, we demonstrate how an existing computational model of analogy can be used to transfer this region to a new situation.
Download:  pdf pdf (1.42 MB)  bib bib
Links: [Google Scholar] [CiteSeer]

You can watch a video of the presentation at Advances in Cognitive Systems 2011 on vimeo.

Note that this paper has been superseded by the AAAI 2012 version.