Applying Energy Autonomous Robots for Dike Inspection

Douwe Dresscher*, Theo J.A. de Vries, Stefano Stramigioli

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    This article presents an exploratory study of an energy-autonomous robot that can be deployed on the Dutch dykes. Based on theory in energy harvesting from sun and wind and the energy-cost of locomotion an analytic expression to determine the feasible daily operational time of such a vehicle is composed. The parameters in this expression are identified using lab results and weather statistics. After an evaluation of the “Energy autonomous robot in the Netherlands‿ case, the results are generalised by looking at the effects of varying the assumptions. Based on this work, three conclusions can be drawn. Firstly, it is realistic to have an energy-autonomous walking dyke robot in the Netherlands. Secondly, the use of solar panels is probably not feasible if the amount of solar energy that is available is much less than assumed in the study. Finally, in this case study, the inclusion of a wind turbine typically offers a slight benefit. Furthermore, it gives a significant benefit in the months where the incident power of the sun is low, thus allowing a reasonable operational time during the winter.
    Original languageEnglish
    Title of host publicationTowards Autonomous Robotic Systems
    Subtitle of host publication16th Annual Conference, TAROS 2015, Liverpool, UK, September 8-10, 2015, Proceedings
    EditorsClare Dixon, Karl Tuyls
    Place of PublicationCham
    Number of pages12
    ISBN (Electronic)978-3-319-22416-9
    ISBN (Print)978-3-319-22415-2
    Publication statusPublished - 18 Jul 2015
    Event16th Annual Conference Towards Autonomous Robotic Systems - Liverpool, United Kingdom
    Duration: 8 Sept 201510 Sept 2015
    Conference number: 16th

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349
    NameLecture Notes in Artificial Intelligence


    Conference16th Annual Conference Towards Autonomous Robotic Systems
    Abbreviated titleTAROS 2015
    Country/TerritoryUnited Kingdom


    • Mobile robots
    • Energy autonomy
    • Wind speed
    • Operational time
    • Wind turbine
    • Solar panel
    • Average wind speed


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