• DocumentCode
    251547
  • Title

    Coordinating UAVs and AUVs for oceanographic field experiments: Challenges and lessons learned

  • Author

    Faria, Margarida ; Pinto, Joel ; Py, Frederic ; Fortuna, Joao ; Dias, Hugo ; Martins, Rui P. ; Leira, Frederik ; Johansen, Tor Arne ; Sousa, J. ; Rajan, K.

  • Author_Institution
    Fac. of Eng., Porto Univ., Porto, Portugal
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    6606
  • Lastpage
    6611
  • Abstract
    Obtaining synoptic observations of dynamic ocean phenomena such as fronts, eddies, oxygen minimum zones and blooms has been challenging primarily due to the large spatial scales involved. Traditional methods of observation with manned ships are expensive and, unless the vessel can survey at high-speed, unrealistic. Autonomous underwater vehicles (AUVs) are robotic platforms that have been making steady gains in sampling capabilities and impacting oceanographic observations especially in coastal areas. However, their reach is still limited by operating constraints related to their energy sources. Unmanned aerial vehicles (UAVs) recently introduced in coastal and polar oceanographic experiments have added to the mix in observation strategy and methods. They offer a tantalizing opportunity to bridge such scales in operational oceanography by coordinating with AUVs in the water-column to get in-situ measurements. In this paper, we articulate the principal challenges in operating UAVs with AUVs making synoptic observations for such targeted water-column sampling. We do so in the context of autonomous control and operation for networked robotics and describe novel experiments while articulating the key challenges and lessons learned.
  • Keywords
    autonomous aerial vehicles; autonomous underwater vehicles; oceanographic techniques; AUV; UAV; autonomous control; autonomous underwater vehicle; dynamic ocean phenomena; networked robotics; oceanographic field experiment; polar oceanographic experiment; robotic platform; unmanned aerial vehicle; water-column sampling; Cameras; Inductors; Marine vehicles; Robots; Sea measurements; Sensors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICRA.2014.6907834
  • Filename
    6907834