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Towards an Ontology for Task and Planning in Autonomous Systems: An Emergency Scenario

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ROBOT 2017: Third Iberian Robotics Conference (ROBOT 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 693))

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Abstract

Emergency scenarios where chemical explosions or fire outbreaks take place become dangerous environments to send a human team to. UAVs and UGVs working together with the human rescue team can prevent endangering the human team. To perform the emergency tasks, it is necessary to define what the UAV/UGV robotic system will do in the emergency area, detailing what each of the robots will specifically carry out. Next, the different actions should be planned to perform such tasks. An ontology–based approach is described in this paper, where the cohesive element to specify the planning process is a task ontology. We describe the initial contents of our ontology for task and planning in autonomous robots, with an example of its use within an emergency scenario where a combined UAV/UGV robotic system is supposed to act.

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References

  1. Aghaeeyan, A., Abdollahi, F., Talebi, H.A.: UAV-UGVs cooperation: with a moving center based trajectory. In: Robotics and Auotnomous Systems (2015)

    Google Scholar 

  2. Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.F. (eds.): The Description Logic Handbook: Theory, Implementation and Applications, 2nd edn. Cambridge University Press, New York (2010)

    MATH  Google Scholar 

  3. Balakirsky, S., Schlenoff, C., Fiorini, S., Redfield, S., Barreto, M., Nakawala, H., Carbonera, J., Soldatova, L., Bermejo-Alonso, J., Maikore, F., Goncalves, P., de Mori, E., Ragavan, S.V., Haidegger, T.: Towards a robots task ontology standard. In: Proceedings of the ASME 2017 International Manufacturing Science and Engineering Conference, Los Angeles, CA, USA (2017)

    Google Scholar 

  4. Behnke, G., Bercher, P., Biundo, S., Glimm, B., Ponomaryov, D., Schiller, M.: Integrating ontologies and planning for cognitive systems. In: Proceedings of the 28th International Workshop on Description Logics (DL 2015). CEUR Workshop Proceedings (2015)

    Google Scholar 

  5. Bermejo-Alonso, J., Sanz, R., Rodríguez, M., Hernández, C.: An ontological framework for autonomous systems modelling. Int. J. Adv. Intell. Syst. 3(3), 211–225 (2011)

    Google Scholar 

  6. Cantelli, L., Mangiameli, M., Melita, C.D., Muscato, G.: UAV/UGV cooperation for surveying operations in humanitarian demining. In: 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics, pp. 1–6 (2013)

    Google Scholar 

  7. Chandra, R., Rocha, R.: Knolwedge-based framework for human-robots collaborative context awareness in USAR missions. In: 16th IEEE International Conference on Autonomous Systems and Competitions (2016)

    Google Scholar 

  8. Chandrasekaran, B., Josephson, J., Benjamins, V.R.: Ontology of tasks and methods. In: 11th Workshop on Knowledge Acquisition, Modeling and Management (KAW98). Banff, Alberta, Canada (1998)

    Google Scholar 

  9. Freitas, A., Schmidt, D., Panisson, A., Meneguzzi, F., Vieira, R., Bordini, R.H.: Semantic representations of agent plans and planning problem domains. In: Dalpiaz, F., Diz, J., van Riemsdijk, M. (eds.) Engineering Multi-Agent Systems: Second International Workshop, EMAS 2014, Paris, France, 5–6 May 2014, Revised Selected Papers. Lecture Notes in Artificial Intelligence (LNAI), vol. 8758, pp. 351–366. Springer International Publishing (2014)

    Google Scholar 

  10. Gangemi, A., Borgo, S., Catenacci, C., Lehmann, J.: Task tanomies for knowledge content. Technical report D07, Laboratory for Applied Ontology (LOA) (2005)

    Google Scholar 

  11. Ghallab, M., Nau, D., Traverso, P.: Automated Planning and Acting. Cambridge University Press, Cambridge (2016)

    MATH  Google Scholar 

  12. Gil, Y.: Description logics and planning. AI Mag. 26(2), 73–84 (2005)

    Google Scholar 

  13. Gil, Y., Blythe, J.: PLANET: a shareable and reusable ontology for representing plans. In: Proceedings of the AAAI Workshop on Representational Issues for Real-world Plannning Systems, pp. 28–33 (2000)

    Google Scholar 

  14. Gruber, T.: Ontology. In: Liu, L., Ozsu, M.T. (eds.) Encyclopedia of Database Systems, pp. 1963–1965. Springer, New York (2009)

    Google Scholar 

  15. Guarino, N., Oberle, D., Staab, S.: What is an ontology? In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, pp. 1–17. Springer, Heidelberg (2009)

    Google Scholar 

  16. Habib, M., Baudoin, Y., Nagata, F.: Robotics for rescue and risky intervention. In: 37th Annual Conference on IEEE Industrial Electronics Society (IECON), pp. 3305–3310 (2011)

    Google Scholar 

  17. ISO/IEC/IEEE: 42010:2011: Systems and software engineering - architecture description. Technical report, ISO/IEC/IEEE (2011)

    Google Scholar 

  18. Karma, S., Zorba, E., Pallis, G., Statheropoulus, G., Balta, I., Mikedi, K., Vamvakari, J., Pappa, A., Chalaris, M., Xanthopoulos, G., Statheropoulus, M.: Use of unmanned vehicles in search and rescue operations in forest fires: advantages and limitations observed in a field trial. Int. J. Disaster Risk Reduct. 13, 307–312 (2015)

    Article  Google Scholar 

  19. Object Management Group (OMG): OMG Systems Modeling Language (SysML) Version 1.4 (2015)

    Google Scholar 

  20. Object Mangement Group (OMG): Unified Modeling Language (UML) Version 2.5 (2015)

    Google Scholar 

  21. Rajhpathak, D., Motta, E.: An ontological formalization of the planning task. In: International Conference on Formal Ontology in Information Systems (FOIS), Torino, Italy (2004)

    Google Scholar 

  22. Bouillet, E., Feblowitz, M., Liu, Z., Ranganathan, A., Riabov, A.: A knowledge engineering and planning framework based on OWL ontologies. In: Proceedings of the Second International Competition on Knowledge Engineering (2007)

    Google Scholar 

  23. Sánchez-Ruiz, A., González-Castro, P.A., Díaz-Aguado, B.: Planning with description logics and syntactic updates. In: Planning, Scheduling and Constraint Satisfaction CAEPIA 2007 Workshop, pp. 140–150 (2007)

    Google Scholar 

  24. Schlenoff, C., Messina, E.: A robot ontology for urban search and rescue. In: 2005 ACM Workshop on Research in Knowledge Representation for Autonomous Systems (2005)

    Google Scholar 

  25. Sirin, E., Parsia, B., Wu, D., Hendler, J., Nau, D.: HTN planning for web service composition using SHOP2. J. Web Seman. 1(4), 377–396 (2004)

    Article  Google Scholar 

  26. Tanner, H.G.: Switched UAV–UGV coooperation scheme for target detection. In: IEEE International Conference on Robotics and Automation, pp. 3457–3462 (2007)

    Google Scholar 

  27. Tate, A.: Towards a plan ontology. AI*IA Notizie (J. Ital. Assoc. AI) 9(1), 19–26 (1996)

    Google Scholar 

  28. Uschold, M., King, M.: Towards a methodology for building ontologies. In: Workshop on Basic Ontological Issues in Knowledge Sharing (IJCAI95) (1995)

    Google Scholar 

  29. Valente, A.: Knowledge-level analysis of planning system. SIGART Bull. 6(1), 33–41 (1995)

    Article  Google Scholar 

  30. W3C: OWL 2 Web Ontology Language, Second edn. (2012)

    Google Scholar 

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Acknowledgments

We acknowledge the support of the Spanish Government through grant RTC-2016-5191-8 Sistema Autónomo de VIgilancia y SEguridad basado en multirrotores (ADVISE), and grant RTC-2016-5059-8 Sistema Autónomo para La INtervención en Emergencias (SALINE).

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Authors and Affiliations

  1. Autonomous Systems Laboratory (ASLab), UPM-CSIC Centre for Automation and Robotics, Universidad Politécnica de Madrid, Madrid, Spain

    Julita Bermejo-Alonso, Jorge Salvador & Ricardo Sanz

Authors
  1. Julita Bermejo-Alonso
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  2. Jorge Salvador
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  3. Ricardo Sanz
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Corresponding author

Correspondence to Julita Bermejo-Alonso .

Editor information

Editors and Affiliations

  1. Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Sevilla, Spain

    Anibal Ollero

  2. Institut de Robòtica I Informàtica Industrial (CSIC-UPC), Universitat Politècnica de Catalunya, Barcelona, Spain

    Alberto Sanfeliu

  3. Departamento de Informática e Ingeniería de Sistemas, Escuela de Ingeniería y Arquitectura, Instituto de Investigación en Ingeniería de Aragón, Zaragoza, Spain

    Luis Montano

  4. Institute of Electronics and Telematics Engineering of Aveiro (IEETA), Universidade de Aveiro, Aveiro, Portugal

    Nuno Lau

  5. IDMEC, Instituto Superior Técnico de Lisboa, Universidade de Lisboa, Lisbon, Portugal

    Carlos Cardeira

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Bermejo-Alonso, J., Salvador, J., Sanz, R. (2018). Towards an Ontology for Task and Planning in Autonomous Systems: An Emergency Scenario. In: Ollero, A., Sanfeliu, A., Montano, L., Lau, N., Cardeira, C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017. Advances in Intelligent Systems and Computing, vol 693. Springer, Cham. https://doi.org/10.1007/978-3-319-70833-1_35

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  • DOI: https://doi.org/10.1007/978-3-319-70833-1_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70832-4

  • Online ISBN: 978-3-319-70833-1

  • eBook Packages: EngineeringEngineering (R0)

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