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ThinkMind // COGNITIVE 2014, The Sixth International Conference on Advanced Cognitive Technologies and Applications // View article cognitive_2014_2_10_40072


Modelling Spatial Understanding: Using Knowledge Representation to Enable Spatial Awareness in a Robotics Platform

Authors:
Martin Lochner
Charlotte Sennersten
Ahsan Morshed
Craig Lindley

Keywords: Human Robot Interaction; Autonomous Navigation; Knowledge Representation; Spatial Ontology

Abstract:
Robotics in the 21st century will progress from scripted interactions with the physical world, where human programming input is the bottleneck in the robot’s ability to sense, think and act, to a point where the robotic system is able to autonomously generate adaptive representations of its surroundings, and further, to implement decisions regarding this environment. A key factor in this development will be the ability of the robotic platform to understand its physical space. In this paper, we describe a rationale and framework for developing spatial understanding in a robotics platform, using knowledge representation in the form of a hybrid spatial-ontological model of the physical world. While such a system may be implemented with classical ontologies, we discuss the advantages of non-hierarchical modes of knowledge representation, including a conceptual link between information processing ontologies and contemporary cognitive models.

Pages: 26 to 31

Copyright: Copyright (c) IARIA, 2014

Publication date: May 25, 2014

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-340-7

Location: Venice, Italy

Dates: from May 25, 2014 to May 29, 2014

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