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Vision-Based Control for an AUV in a Multi-robot Undersea Intervention Task

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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

This paper presents a novel vision-based framework for controlling an Autonomous Underwater Vehicle (AUV). In our application, this AUV is in charge of providing an alternative point of view of a predefined target during a multi-robot intervention mission, where two vehicles cooperate in order to perform the required task. Given this scenario, our framework is based on two main modules: on the one hand, a target detection and tracking module is used to determine the position of the target in the scene; on the other hand, a visual servoing module generates the required velocities for controlling the platform according to the estimated position of the target in the image plane. Results for a set of experiments in different environments are reported and discussed.

This work was mainly supported by the Spanish project MERBOTS, subproject SUPERION (MINECO DPI2014-57746-C3-2-R).

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Correspondence to Emilio Garcia-Fidalgo .

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Garcia-Fidalgo, E., Ortiz, A., Massot-Campos, M. (2018). Vision-Based Control for an AUV in a Multi-robot Undersea Intervention Task. 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_4

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  • DOI: https://doi.org/10.1007/978-3-319-70833-1_4

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