Robotic manifold tracking of coherent structures in flows

M. Ani Hsieh, Eric Forgoston, T. William Mather, Ira B. Schwartz

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

    31 Scopus citations

    Abstract

    Tracking Lagrangian coherent structures in dynamical systems is important for many applications such as oceanography and weather prediction. In this paper, we present a collaborative robotic control strategy designed to track stable and unstable manifolds. The technique does not require global information about the fluid dynamics, and is based on local sensing, prediction, and correction. The collaborative control strategy is implemented on a team of three robots to track coherent structures and manifolds on static flows as well as a noisy time-dependent model of a wind-driven double-gyre often seen in the ocean. We present simulation and experimental results and discuss theoretical guarantees of the collaborative tracking strategy.

    Original languageEnglish
    Title of host publication2012 IEEE International Conference on Robotics and Automation, ICRA 2012
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages4242-4247
    Number of pages6
    ISBN (Print)9781467314039
    DOIs
    StatePublished - 2012
    Event 2012 IEEE International Conference on Robotics and Automation, ICRA 2012 - Saint Paul, MN, United States
    Duration: 14 May 201218 May 2012

    Publication series

    NameProceedings - IEEE International Conference on Robotics and Automation
    ISSN (Print)1050-4729

    Other

    Other 2012 IEEE International Conference on Robotics and Automation, ICRA 2012
    Country/TerritoryUnited States
    CitySaint Paul, MN
    Period14/05/1218/05/12

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