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Towards a Cognitive System That Can Recognize Spatial Regions Based on Context
Conferences & Talks



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 present a cognitive system able to learn them by combining qualitative spatial representations, semantic labels, and analogy. The system is capable of generating a collection of qualitative spatial representations describing the configuration of the entities it perceives in the world. It can then be taught context-dependent spatial regions using anchor points defined on these representations. We then demonstrate how an existing computational model of analogy can be used to detect context-dependent spatial regions in previously unseen rooms. To evaluate this process we compare detected regions to annotations made on maps of real rooms by human volunteers.


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27 October 2016
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2016 AIChE Annual Meeting: Energy and Transport Processes
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14 November 2016 - 15 November 2016 | San Francisco, CA
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Printed Electronics USA 2016 - Visit PARC’s Booth #T20
Ross Bringans, Markus Larsson, Janos Veres
16 November 2016 - 17 November 2016 | Santa Clara, CA
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