• DocumentCode
    716569
  • Title

    Zig-zag wanderer: Towards adaptive tracking of time-varying coherent structures in the ocean

  • Author

    Kularatne, Dhanushka ; Smith, Ryan N. ; Hsieh, M. Ani

  • Author_Institution
    Mech. Eng. & Mech. Dept., Drexel Univ., Philadelphia, PA, USA
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    3253
  • Lastpage
    3258
  • Abstract
    Similar to the atmosphere, coherent structures, e.g., fronts, exist in the ocean. These frontal structures are known to be highly productive, supporting the whole spectrum of marine life. Ocean fronts are dynamic in time and space, and are a key component to a comprehensive knowledge of ocean dynamics and aquatic ecosystems in relation to climate change. However, dynamic features such as fronts are difficult to study through conventional oceanographic techniques. In this paper, we build upon our previous work in sampling and tracking an ocean front based on predictions and/or priors. Specifically, given a prior (that may not be accurate or up-to-date) we present and experimentally validate a method for an autonomous surface or underwater vehicle to plan a mission and adapt this mission on-the-go to track a dynamic, but coherent, structure. Experimental results using a novel indoor testbed, capable of creating controllable fluidic features in an indoor laboratory setting, are presented. These results demonstrate that the vehicle is able to adapt its path to follow a desired, time-varying contour.
  • Keywords
    ecology; oceanographic techniques; time-varying systems; underwater vehicles; adaptive tracking; aquatic ecosystems; autonomous surface; climate change; coherent structures; controllable fluidic features; frontal structures; indoor laboratory setting; marine life; ocean dynamics; ocean fronts; oceanographic techniques; time-varying contour; underwater vehicle; zig-zag wanderer; Noise; Oceans; Robot sensing systems; Vehicle dynamics; Vehicles; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7139647
  • Filename
    7139647