Representation and Exchange of Knowledge About Actions, Objects, and Environments in the RoboEarth Framework

The community-based generation of content has been tremendously successful in the World-Wide Web - people help each other by providing information that could be useful to others. We are trying to transfer this approach to robotics in order to help robots acquire the vast amounts of knowledge needed...

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Bibliographic Details
Published in:IEEE transactions on automation science and engineering 2013-07, Vol.10 (3), p.643-651
Main Authors: Tenorth, M., Perzylo, A. C., Lafrenz, R., Beetz, M.
Format: Article
Language:English
Subjects:
Automation
Information
Knowledge
knowledge exchange
Knowledge representation
Ontologies
OWL
Robot kinematics
Robot sensing systems
Robotics
Robots
Semantics
service robotics
Solid modeling
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Summary:The community-based generation of content has been tremendously successful in the World-Wide Web - people help each other by providing information that could be useful to others. We are trying to transfer this approach to robotics in order to help robots acquire the vast amounts of knowledge needed to competently perform everyday tasks. RoboEarth is intended to be a web community by robots for robots to autonomously share descriptions of tasks they have learned, object models they have created, and environments they have explored. In this paper, we report on the formal language we developed for encoding this information and present our approaches to solve the inference problems related to finding information, to determining if information is usable by a robot, and to grounding it on the robot platform.
ISSN:1545-5955
1558-3783
DOI:10.1109/TASE.2013.2244883