Abstract
Meaningfully managing the relationship between representations and the entities they represent remains a challenge in robotics known as grounding. Useful insights can be found by approaching robotic systems development specifically with the grounding and symbol grounding problem in mind. In this paper we use Semantic Web technologies to provide a powerful extension to existing proposals for grounding robotic systems and have consequently developed OBOC, the first robotic software system with an ontology-based vision subsystem. OBOC has been tested and evaluated in the robot soccer domain against an internationally recognized RoboCup system. The architecture can be extended from not just vision but to also enhance decision making and support tasks such as information retrieval, reasoning, planning, communication and collaboration. The interoperability and openness of the Semantic Web technologies that underlie this approach increase the ability for robots to introspect, communicate and be inspected—benefits that ultimately lead to more grounded systems with open-ended intelligent behaviour and scope for collaboration.
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References
Baader, F., Hollunder, B.: Embedding defaults into terminological knowledge represen¬tation formalisms. J. Autom. Reasoning 14(1), 149–180 (1995)
Bonatti, P., Lutz, C., Wolter, F.: Description logics with circumscription. In: Proc. of KR 2006 (2006)
Breen, C., Khan, L., Ponnusamy, A.: Image classification using neural networks and on¬tologies. In: The 13th Int. Wksp. on Database and Expert Systems Applications, pp. 98–102 (2002)
Coradeschi, S., Saffiotti, A.: Special issue on perceptual anchoring symbols to sensor data in single and multiple robot systems. Robotics and Autonomous Systems 43(2-3) (2003)
Eiter, T., Lukasiewicz, T., Schindlauer, R., Tompits, H.: Combining answer set program¬ming with description logics for the semantic web. In: Proc. of KR 2004 (2004)
Flouris, G., Plexousakis, D., Antoniou, G.: On applying the AGM theory to DLs and OWL. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 216–231. Springer, Heidelberg (2005)
Gärdenfors, P., Williams, M.-A.: Building rich and grounded robot world models from sensors and knowledge resources: a conceptual spaces approach. In: Proc. of the Int. Symp. on Autonomous Mini-robots for Research and Edutainment (2003)
Harnad, S.: The symbol grounding problem. Physica D: Nonlinear Phenomena 42, 335–346 (1990)
Kent, W.: Data and Reality. North Holland, Amsterdam (1978)
Limketkai, B., Liao, L., Fox, D.: Relational object maps for mobile robots. In: Proc. of the IJCAI 2005, pp. 1471–1476 (2005)
Meyer, T., Lee, K., Booth, R.: Knowledge integration for description logics. In: Proc. of AAAI 2005 (2006)
Milicic, M.: Planning in action formalisms based on DLs: first results. In: Proc. of DL 2007 (2007)
Modayil, J., Kuipers, B.: Bootstrap learning for object discovery. In: IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 742–747 (2004)
Motik, B., Rosati, R.: A faithful integration of description logics with logic program¬ming. In: Proc. of IJCAI 2007 (2007)
Parsia, B., Sirin, E., Kalyanpur, A.: Debugging OWL ontologies. In: Proc. of WWW 2005 (2005)
Qi, G., Liu, W., Bell, D.A.: Knowledge base revision in description logics. In: Fisher, M., van der Hoek, W., Konev, B., Lisitsa, A. (eds.) JELIA 2006. LNCS (LNAI), vol. 4160, pp. 386–398. Springer, Heidelberg (2006)
Rosati, R.: DL+log: tight integration of description logics and disjunctive datalog. In: Proc. of KR 2006 (2006)
Schlenoff, C.: Linking sensed images to an ontology of obstacles to aid in autonomous driving. In: Proc. of the 18th Nat. Conf. on Artificial Intelligence: Wksp. on Ontologies for the Semantic Web (2002)
Schlobach, S., Cornet, R.: Non-standard reasoning services for the debugging of de¬scription logic terminologies. In: Proc. of IJCAI 2003 (2003)
Schober, J.P., Hermes, T., Herzog, O.: Content-based image retrieval by ontology-based object recognition. In: Proc. of the KI-2004 Wksp. on Applications of Description Logics (ADL 2004) (2004)
Searle, J.R.: Minds, brains and programs. Behavioural and Brain Sciences 3(3), 417–457 (1980)
Shvaiko, P., Euzenat, J.: A survey of schema-based matching approaches. J. of Data Semantics (JoDS), IV (2005)
Song, M.H.: Ontology based automatic classification of web pages. Int. J. of Lateral Computing 1(1) (2004)
Sowa, J.F.: Ontology, metadata, and semiotics, viewed 2/8/05 (2000), http://www.isye.gatech.edu/faculty/Leon_McGinnis/8851/Sources/Ontology/SemioticsSowa.htm
van Eijk, R., de Boer, F., van der Hoek, W., Meyer, J.: On dynamically generated ontology translators in agent communication. Int. J. of Intelligent Systems 16, 587–607 (2001)
Vogt, P.: Anchoring of semiotic symbols. Robotics and Autonomous Systems 43(2), 109–120 (2003)
Williams, M.-A., Gärdenfors, P., Karol, A., McCarthy, J., Stanton, C.: A framework for evaluating groundedness of representations in systems: from brains in vats to mobile ro¬bots. In: IJCAI 2005 Workshop on Agents in Real-Time and Dynamic Environments (2005)
Yang, F., Chen, X.: DLclog: a hybrid system integrating rules and description logics with circumscription. In: Proc. of DL 2007 (2007)
Ziemke, T.: Rethinking grounding’, Austrian Soc. for Cognitive Science. In: Proc. of New Trends in Cognitive Science (1997)
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Johnston, B., Yang, F., Mendoza, R., Chen, X., Williams, MA. (2008). Ontology Based Object Categorization for Robots. In: Yamaguchi, T. (eds) Practical Aspects of Knowledge Management. PAKM 2008. Lecture Notes in Computer Science(), vol 5345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89447-6_21
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DOI: https://doi.org/10.1007/978-3-540-89447-6_21
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