• DocumentCode
    1438517
  • Title

    USC CINAPS Builds Bridges

  • Author

    Smith, Ryan N. ; Das, Jnaneshwar ; Heidarsson, Hördur ; Pereira, Arvind M. ; Arrichiello, Filippo ; Cetnic, I. ; Darjany, Lindsay ; Garneau, Marie-eve ; Howard, Meredith D. ; Oberg, Carl ; Ragan, Matthew ; Seubert, Erica ; Smith, Ellen C. ; Stauffer, Beth

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    17
  • Issue
    1
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    20
  • Lastpage
    30
  • Abstract
    More than 70% of our earth is covered by water, yet we have explored less than 5% of the aquatic environment. Aquatic robots, such as autonomous underwater vehicles (AUVs), and their supporting infrastructure play a major role in the collection of oceanographic data. To make new discoveries and improve our overall understanding of the ocean, scientists must make use of these platforms by implementing effective monitoring and sampling techniques to study ocean upwelling, tidal mixing, and other ocean processes. Effective observation and continual monitoring of a dynamic system as complex as the ocean cannot be done with one instrument in a fixed location. A more practical approach is to deploy a collection of static and mobile sensors, where the information gleaned from the acquired data is distributed across the network. Additionally, orchestrating a multisensor, long-term deployment with a high volume of distributed data involves a robust, rapid, and cost-effective communication network. Connecting all of these components, which form an aquatic robotic system, in synchronous operation can greatly assist the scientists in improving our overall understanding of the complex ocean environment.
  • Keywords
    data acquisition; mobile robots; oceanography; underwater vehicles; USC CINAPS; aquatic environment; aquatic robotic system; autonomous underwater vehicles; mobile sensors; ocean upwelling; oceanographic data collection; tidal mixing; Bridges; Earth; Instruments; Monitoring; Oceans; Robots; Robustness; Sampling methods; Underwater vehicles; Vehicle dynamics;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/MRA.2010.935795
  • Filename
    5430373