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Modelling and Simulation in the Autonomous Systems’ Domain – Current Status and Way Ahead

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Modelling and Simulation for Autonomous Systems (MESAS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9055))

Abstract

A first Modelling and Simulation for Autonomous System Workshop (MESAS 2014) was organized by NATO Modelling and Simulation Centre of Excellence in Rome 2014. The main findings were related to the missing ontologies for AS deployment, a legal and cultural gap in the AS deployment and the request to launch the cross panel project under NATO Science and Technology Organization aimed at the AS development supported by modelling and simulation. The article is focused on the main findings form the 2015 edition based on the analysis of presented papers and final panel discussion in the workshop. The experimental frameworks for the AS development and deployment is mentioned and its perspective as well. The next part is explaining the differences in the autonomous system and human behavior modelling. The last part is focused on the AS concept of operation and the potential consequences.

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References

  1. Hodicky, J.: HLA as an experimental backbone for autonomous system integration into operational field. In: Hodicky, J. (ed.) MESAS 2014. LNCS, vol. 8906, pp. 121–126. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  2. Alonso, J.B.: OASys.: Ontology for autonomous systems. Ph.D. thesis, Universidad Politecnica de Madrid (2010)

    Google Scholar 

  3. Perhinschi, M.G., Napolitano, M.R., Tamayo, S.: Integrated simulation environment for unmanned autonomous systems—towards a conceptual framework. Model. Simul. Eng. 2010, 12 (2010). Article ID 736201

    Google Scholar 

  4. IEEE Standard for Distributed Interactive Simulation–Application Protocols. IEEE Std 1278.1-2012 (Revision of IEEE Std 1278.1-1995), pp. 1–747 (2012)

    Google Scholar 

  5. STANAG 4603. Modelling and simulation architecture standards for technical interoperability: High Level Architecture (HLA). Brussels: NATO Standardization Council (2009)

    Google Scholar 

  6. DDS Object Management Group (OMG). Data Distribution Service for Real-time Systems – version 1.2 (2007)

    Google Scholar 

  7. Chaitin, G.: What is creativity? (2010). http://www.philosophytogo.org/wordpress/?p=1872

  8. Du, R., Lee, H.J.: A novel compression algorithm for LiDAR data. In: 2012 5th International Congress on Image and Signal Processing (CISP), pp. 987–991 (2012)

    Google Scholar 

  9. Chao, H., Coopmans, C., Di, L., Chen, Y.Q.: A comparative evaluation of low-cost IMUs for unmanned autonomous systems. In: Multisensor Fusion and Integration for Intelligent Systems (MFI), pp. 211–216 (2010)

    Google Scholar 

  10. Anitha, R., Renuka, S., Abudhahir, A.: Multi sensor data fusion algorithms for target tracking using multiple measurements. In: Computational Intelligence and Computing Research (ICCIC), pp. 1–4 (2013)

    Google Scholar 

  11. Raif, P., Starzyk, J.A.: Motivated learning in autonomous systems. In: Neural Networks (IJCNN), pp. 603–610 (2011)

    Google Scholar 

  12. Wang, J.J., Zhang, Y.F., Geng, L., Fuh, J.Y.H., Teo, S.H.: Mission planning for heterogeneous tasks with heterogeneous UAVs. In: Control Automation Robotics & Vision (ICARCV), pp. 1484–1489 (2014)

    Google Scholar 

  13. Liang, W., Xiao, A., Qian, H., Liu, G.: A global path planning algorithm based on rough sets theory. In: World Automation Congress (WAC), pp 1–4 (2012)

    Google Scholar 

  14. Sariff, N., Buniyamin, N.: An overview of autonomous mobile robot path planning algorithms. In: Research and Development, SCOReD 2006, pp. 183–188 (2006)

    Google Scholar 

  15. Gupta, S., Hare, J., Zhou, S.: Cooperative coverage using autonomous underwater vehicles in unknown environments. Oceans, 1–5 (2012)

    Google Scholar 

  16. Arkin, R.C., Ulam, P., Wagner, A.R.: Moral decision making in autonomous systems: enforcement, moral emotions, dignity, trust, and deception. Proc. IEEE 100(3), 571–589 (2012)

    Article  Google Scholar 

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Authors and Affiliations

  1. NATO Modelling and Simulation Centre of Excellence, Rome, Italy

    Jan Hodicky

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  1. Jan Hodicky
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Correspondence to Jan Hodicky .

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Editors and Affiliations

  1. NATO Mdelling and Simulation Centre of Excellence , Rome, Italy

    Jan Hodicky

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© 2015 Springer International Publishing Switzerland

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Hodicky, J. (2015). Modelling and Simulation in the Autonomous Systems’ Domain – Current Status and Way Ahead. In: Hodicky, J. (eds) Modelling and Simulation for Autonomous Systems. MESAS 2015. Lecture Notes in Computer Science(), vol 9055. Springer, Cham. https://doi.org/10.1007/978-3-319-22383-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-22383-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22382-7

  • Online ISBN: 978-3-319-22383-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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