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Towards Composable Robotics: The R3-COP Knowledge-Base Driven Technology Platform

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7613))

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Abstract

The ARTEMIS project R3-COP (Resilient Reasoning Robotic Co-operating Systems) aims at providing European industry with leading-edge innovation that will enable the production of advanced robust and safe cognitive, reasoning autonomous and co-operative robotic systems at reduced cost.This is achieved by cross-sector reusability of building blocks, collected in a knowledge base, within a generic framework and platform with domain-specific instantiations.

The R3-COP Framework is targeting at becoming basis for a European RTP (Reference Technology Platform) for robust autonomous systems by embodying methodologies, methods, and tools for safety-critical hard-real-time system development and verification supported by European tool vendors. To enable this, interoperability issues have to be resolved at several levels, including meta-models, models, tool interfaces and component descriptions. The link is established by the knowledge base described in more detail in this paper to allow composition of robotic applications from building blocks, guiding design & development as well as validation & verification (supporting certification in the end). The concept of the knowledge base could be re-used in the planned ARTEMIS Common Reference Technology Platform for critical systems engineering.

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References

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© 2012 Springer-Verlag Berlin Heidelberg

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Schoitsch, E., Herzner, W., Alonso-Montes, C., Chmelar, P., Dalgaard, L. (2012). Towards Composable Robotics: The R3-COP Knowledge-Base Driven Technology Platform. In: Ortmeier, F., Daniel, P. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2012. Lecture Notes in Computer Science, vol 7613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33675-1_40

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  • DOI: https://doi.org/10.1007/978-3-642-33675-1_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33674-4

  • Online ISBN: 978-3-642-33675-1

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