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
Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American (2001)
Brooks, F.P.: The Mythical Man-month: Essays on Software Engineering. Addison Wesley (1995)
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)
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)
Lemaignan, S., Ros, R., Mosenlechner, L., Alami, R., Beetz, M.: Oro, a knowledge management platform for cognitive architectures in robotics. In: IROS 2010 (2010)
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)
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)
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)
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)
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)
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)
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)
Tenorth, M., Beetz, M.: Knowrob: A knowledge processing infrastructure for cognition-enabled robots. International Journal of Robotics Research 32(5) (2013)
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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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