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The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9287))

Abstract

With the increasing abilities of robots comes a corresponding increase in the complexity of creating the software enabling these abilities. We present a case study of a sophisticated robotic system which uses an ontology as the central data store for all information processing. We show how this central, structured and easily human-understandable knowledge-base makes for a system that is easier to develop, understand, and modify.

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References

  1. Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American (2001)

    Google Scholar 

  2. Brooks, F.P.: The Mythical Man-month: Essays on Software Engineering. Addison Wesley (1995)

    Google Scholar 

  3. Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human Computer Studies 43(5–6), 907–907 (1995)

    Article  Google Scholar 

  4. Hanheide, M., Gretton, C., Dearden, R., Hawes, N., Wyatt, J., Pronobis, A., Aydemir, A., Gbelbecker, M., Zender, H.: Exploiting probabilistic knowledge under uncertain sensing for efficient robot behaviour. In: IJCAI 2011 (2011)

    Google Scholar 

  5. Lemaignan, S., Ros, R., Mosenlechner, L., Alami, R., Beetz, M.: Oro, a knowledge management platform for cognitive architectures in robotics. In: IROS 2010 (2010)

    Google Scholar 

  6. Lim, G.H., Suh, I.H., Suh, H.: Ontology-based unified robot knowledge for service robots in indoor environments. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 41(3), 492–509 (2011)

    Article  Google Scholar 

  7. Maurelli, F., Saigol, Z., Lane, D.M.: Cognitive knowledge representation under uncertainty for autonomous underwater vehicles. In: ICRA 2014 Workshop on Persistent Autonomy for Underwater Robotics (2014)

    Google Scholar 

  8. Miguelanez, E., Patron, P., Brown, K.E., Petillot, Y.R., Lane, D.M.: Semantic knowledge-based framework to improve the situation awareness of autonomous underwater vehicles. IEEE Transactions on Knowledge and Data Engineering 23(5) (2011)

    Google Scholar 

  9. Motik, B., Patel-Schneider, P.F., Parsia, B., Bock, C., Fokoue, A., Haase, P., Hoekstra, R., Horrocks, I., Ruttenberg, A., Sattler, U., Smith, M.: OWL 2 web ontology language: Structural specification and functional syntax. Tech. rep., W3C (2009)

    Google Scholar 

  10. Paull, L., Severac, G., Raffo, G., Angel, J., Boley, H., Durst, P., Gray, W., Habib, M., Nguyen, B., Ragavan, S., Sajad Saeedi, G., Sanz, R., Seto, M., Stefanovski, A., Trentini, M., Li, H.: Towards an ontology for autonomous robots. In: IROS 2012 (2012)

    Google Scholar 

  11. Prestes, E., Carbonera, J.L., Fiorini, S.R., Jorge, V.A.M., Abel, M., Madhavan, R., Locoro, A., Goncalves, P., Barreto, M.E., Habib, M., Chibani, A., Gerard, S., Amirat, Y., Schlenoff, C.: Towards a core ontology for robotics and automation. Robotics and Autonomous Systems 61(11), 1193–1204 (2013)

    Article  Google Scholar 

  12. Ridder, B., Saigol, Z., Wang, M., Dearden, R., Fox, M., Hawes, N., Kumar, A., Lane, D.M., Long, D.: Efficient search for known objects in large, unknown environments using autonomous indoor robots (submitted 2015)

    Google Scholar 

  13. Tenorth, M., Beetz, M.: Knowrob: A knowledge processing infrastructure for cognition-enabled robots. International Journal of Robotics Research 32(5) (2013)

    Google Scholar 

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Correspondence to Zeyn Saigol .

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© 2015 Springer International Publishing Switzerland

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Saigol, Z., Wang, M., Ridder, B., Lane, D.M. (2015). The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems. In: Dixon, C., Tuyls, K. (eds) Towards Autonomous Robotic Systems. TAROS 2015. Lecture Notes in Computer Science(), vol 9287. Springer, Cham. https://doi.org/10.1007/978-3-319-22416-9_27

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  • DOI: https://doi.org/10.1007/978-3-319-22416-9_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22415-2

  • Online ISBN: 978-3-319-22416-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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