Merging Robotics and AAL Ontologies: The RAPP Methodology

  • Emmanouil G. Tsardoulias
  • Cezary Zieliński
  • Włodzimierz Kasprzak
  • Sofia Reppou
  • Andreas L. Symeonidis
  • Pericles A. Mitkas
  • George Karagiannis
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 351)

Abstract

Cloud robotics is becoming a trend in the modern robotics field, as it became evident that true artificial intelligence can be achieved only by sharing collective knowledge. In the ICT area, the most common way to formulate knowledge is via the ontology concept, where different meanings connect semantically. Additionally, a considerable effort to merge robotics with assisted living concepts exists, as the modern societies suffer from lack of caregivers for the persons in need. In the current work, an attempt is made to merge a robotic and an AAL ontology, as well as utilize it in the RAPP Project (EU-FP7).

Keywords

robotics ontology AAL RAPP cloud robotics KnowRob social robots 

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References

  1. 1.
    Waibel, M., Beetz, M., Civera, J., D’Andrea, R., Elfring, J., Galvez-Lopez, D., Haussermann, K., et al.: A World Wide Web for Robots. IEEE Robotics & Automation Magazine (2011)Google Scholar
  2. 2.
    Arumugam, R., Reddy Enti, V., Bingbing, L., Xiaojun, W., Baskaran, K., Foo Kong, F., Senthil Kumar, A., Dee Meng, K., Wai Kit, G.: DAvinCi: A cloud computing framework for service robots. In: 2010 IEEE International Conference on Robotics and Automation (ICRA), pp. 3084–3089. IEEE (2010)Google Scholar
  3. 3.
    Psomopoulos, F., Tsardoulias, E., Giokas, A., Zielinski, C., Prunet, V., Trochidis, I., Daney, D., Serrano, M., Courtes, L., Arampatzis, S., Mitkas, P.A.: RAPP System Architecture. In: Proc. of the Assistance and Service Robotics in a Human Environment, Workshop in conjunction with IEEE/RSJ International Conference on Intelligent Robots and Systems, Chicago (September 2014)Google Scholar
  4. 4.
    Cappo, D.: Social inclusion, participation and empowerment. ACOSS Info Papers, p. 6 (2003)Google Scholar
  5. 5.
    Barrios-Aranibar, D., Gurgel, V., Gonçalvez, L.M.G., Santos, M., Araújo, G.R., Roza, V., Nascimento, R.A.: Technological inclusion using robots. In: Anais do II ENRI-Encontro Nacional de Robótica Inteligente, vol. 7. XXVI Congresso da Sociedade Brasileira de Computaçao-SBC2006, Campo Grande (2006)Google Scholar
  6. 6.
    Roupa, Z., Nikas, M., Gerasimou, E., Zafeiri, V., Giasyrani, L., Kazitori, E., Sotiropoulou, P.: The use of technology by the elderly. Health Science Journal 4(2) (2010)Google Scholar
  7. 7.
    Dautenhahn, K., Woods, S., Kaouri, C., Walters, M.L., Koay, K.L., Werry, I.: What is a robot companion-friend, assistant or butler? In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), pp. 1192–1197. IEEE (2005)Google Scholar
  8. 8.
    Scherer, M.J., Glueckauf, R.: Assessing the Benefits of Assistive Technologies for Activities and Participation. Rehabilitation Psychology 50(2), 132 (2005)CrossRefGoogle Scholar
  9. 9.
    Tenorth, M., Beetz, M.: KnowRob—knowledge processing for autonomous personal robots. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009, pp. 4261–4266. IEEE (2009)Google Scholar
  10. 10.
    Lemaignan, S., Ros, R., Mosenlechner, L., Alami, R., Beetz, M.: ORO, a knowledge management platform for cognitive architectures in robotics. In: 2010 IEEE/RSJ Int. Conference on Intelligent Robots and Systems (IROS), pp. 3548–3553. IEEE (2010)Google Scholar
  11. 11.
    Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Mattern, F., Naghshineh, M. (eds.) PERVASIVE 2002. LNCS, vol. 2414, pp. 167–180. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  12. 12.
    Wolf, P., Schmidt, A., Klein, M.: SOPRANO-An extensible, open AAL platform for elderly people based on semantical contracts. In: 3rd Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI 2008), 18th European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece (2008)Google Scholar
  13. 13.
    Mileo, A., Merico, D., Pinardi, S.: Bisiani. R., A logical approach to home healthcare with intelligent sensor-network support. The Computer Journal (2009)Google Scholar
  14. 14.
    Saldaña-Jimenez, D., Rodríguez, M.D., García-Vázquez, J.-P., Espinoza, A.-N.: ELDeR: An ontology for enabling living inDependently of risks. In: Meersman, R., Herrero, P., Dillon, T. (eds.) OTM 2009 Workshops. LNCS, vol. 5872, pp. 622–627. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  15. 15.
    Wolf, P., Schmidt, A., Otte, J.P., Klein, M., Rollwage, S., König-Ries, B., Dettborn, T., Gabdulkhakova, A.: openAAL-the open source middleware for ambient-assisted living (AAL). In: AALIANCE Conference, Malaga, Spain, pp. 1–5 (2010)Google Scholar
  16. 16.
    Serrano, M., Gallesio, E., Loitsch, F.: Hop: a language for programming the web 2.0. In: OOPSLA 2006: Companion to the 21st ACM SIGPLAN Symposium on Object-Oriented Programming Systems, Languages, and Applications, pp. 975–985. ACM (2006)Google Scholar
  17. 17.
    Serrano, M., Berry, G.: Multitier programming in hop – a first step toward programming 21st-century applications. Communications of the ACM 55(8), 53–59 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Emmanouil G. Tsardoulias
    • 1
  • Cezary Zieliński
    • 2
  • Włodzimierz Kasprzak
    • 2
  • Sofia Reppou
    • 3
  • Andreas L. Symeonidis
    • 1
  • Pericles A. Mitkas
    • 4
  • George Karagiannis
    • 3
  1. 1.Centre of Research & Technology – HellasThessalonikiGreece
  2. 2.Institute of Control and Computation EngineeringWarsaw University of TechnologyWarszawaPoland
  3. 3.Ormylia FoundationOrmyliaGreece
  4. 4.Department of Electrical and Computer EngineeringAristotle University of ThessalonikiThessalonikiGreece

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