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An Integrated Autonomous Navigation and Decision-Making Architecture for Planetary Exploration Rovers

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International Technology Robotics Applications

Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 70))

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Abstract

In recent years, there has been an increasing research into and experience with autonomy and automation of space missions, such as Earth observation, space station operations, planetary robotic exploration and deep space probes. Capabilities of such systems have grown exponentially, leading to the need of the development of autonomy for the space and ground systems, driven by the benefits that autonomy brings in terms of reducing mission operational costs, enabling long term missions and maximizing scientific return. In the area of planetary rovers the robotics autonomy must be achieved by implementing autonomous navigation capabilities in the functional layer and autonomous decision-making systems in the deliberative layer. In this paper, we propose a goal-oriented autonomous controller architecture over a functional layer based in the classical GNC (guidance-navigation-control) approach. The structure of this paper is the following:

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Authors and Affiliations

  1. GMV Aerospace and Defence, S.A.U., Madrid, Spain

    A. Medina, G. Binet & P. Colmenarejo

Authors
  1. A. Medina
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  2. G. Binet
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  3. P. Colmenarejo
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Corresponding author

Correspondence to A. Medina .

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Editors and Affiliations

  1. Department of Computer Science, University of Oviedo, Mieres, Spain

    Ignacio González Alonso

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Medina, A., Binet, G., Colmenarejo, P. (2014). An Integrated Autonomous Navigation and Decision-Making Architecture for Planetary Exploration Rovers. In: González Alonso, I. (eds) International Technology Robotics Applications. Intelligent Systems, Control and Automation: Science and Engineering, vol 70. Springer, Cham. https://doi.org/10.1007/978-3-319-02332-8_10

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  • DOI: https://doi.org/10.1007/978-3-319-02332-8_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02331-1

  • Online ISBN: 978-3-319-02332-8

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