Putting people's common sense into knowledge bases of household robots

Authors:
Lars Kunze;Moritz Tenorth;Michael Beetz
Affiliations:
Department of Informatics, Technische Universität München;Department of Informatics, Technische Universität München;Department of Informatics, Technische Universität München
Venue:
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Year:
2010

Citing 8
Cited 2

Commonsense-based interfaces

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The description logic handbook: theory, implementation, and applications
ConceptNet — A Practical Commonsense Reasoning Tool-Kit

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AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
KNOWROB: knowledge processing for autonomous personal robots

IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems

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WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
KnowRob: A knowledge processing infrastructure for cognition-enabled robots

International Journal of Robotics Research

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Abstract

Unlike people, household robots cannot rely on commonsense knowledge when accomplishing everyday tasks. We believe that this is one of the reasons why they perform poorly in comparison to humans. By integrating extensive collections of commonsense knowledge into mobile robot's knowledge bases, the work proposed in this paper enables robots to flexibly infer control decisions under changing environmental conditions. We present a system that converts commonsense knowledge from the large Open Mind Indoor Common Sense database from natural language into a Description Logic representation that allows for automated reasoning and for relating it to other sources of knowledge.