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    Chapter Interoperability in a Heterogeneous Team of Search and Rescue Robots

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    Author(s)
    Dias, André
    Rudin, Konrad
    Serrano López, Daniel
    Martins, Alfredo
    Bueno Cordero, José
    Matos, Anibal
    Bedkowski, Janusz
    Moreno, German
    Grati, Alberto
    De Cubber, Geert
    Monteiro Marques, Mario
    Sanchez, Jose
    Fioravanti, Stefano
    Govindaraj, Shashank
    Lobo, Victor
    Tosa, Massimo
    Language
    English
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    Abstract
    Search and rescue missions are complex operations. A disaster scenario is generally unstructured, time‐varying and unpredictable. This poses several challenges for the successful deployment of unmanned technology. The variety of operational scenarios and tasks lead to the need for multiple robots of different types, domains and sizes. A priori planning of the optimal set of assets to be deployed and the definition of their mission objectives are generally not feasible as information only becomes available during mission. The ICARUS project responds to this challenge by developing a heterogeneous team composed by different and complementary robots, dynamically cooperating as an interoperable team. This chapter describes our approach to multi‐robot interoperability, understood as the ability of multiple robots to operate together, in synergy, enabling multiple teams to share data, intelligence and resources, which is the ultimate objective of ICARUS project. It also includes the analysis of the relevant standardization initiatives in multi‐robot multi‐domain systems, our implementation of an interoperability framework and several examples of multi‐robot cooperation of the ICARUS robots in realistic search and rescue missions.
    URI
    https://library.oapen.org/handle/20.500.12657/49200
    Keywords
    interoperability, multi‐robot collaboration
    DOI
    10.5772/intechopen.69493
    Publisher
    InTechOpen
    Publisher website
    https://www.intechopen.com/
    Publication date and place
    2017
    Classification
    Ambulance & rescue services
    Rights
    https://creativecommons.org/licenses/by/3.0/
    • Imported or submitted locally

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    Credits

    • logo Scoss
    • logo EU
    • logo Scoss
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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