• DocumentCode
    1816465
  • Title

    Autonomous vehicles for remote sample collection in difficult conditions: Enabling remote sample collection by marine biologists

  • Author

    Bennett, Andrew ; Preston, Victoria ; Woo, Jay ; Chandra, Shivali ; Diggins, Devynn ; Chapman, Riley ; Zhecan Wang ; Rush, Matthew ; Lye, Liani ; Tieu, Mindy ; Hughes, Silas ; Kerr, Iain ; Wee, Adela

  • Author_Institution
    Intell. Vehicles Lab. Advisor, Olin Coll. of Eng., Needham, MA, USA
  • fYear
    2015
  • fDate
    11-12 May 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Rapidly dropping costs and increasing capabilities of robotic systems are creating unprecedented opportunities for the world of scientific research. Remote sample collection in conditions that were once impossible due to expense, location, timing, or risk are now becoming a reality. Of particular interest in marine biological research is the aspect of removing additional stressors in the form of humans and equipment from whale monitoring. In a partnership between Olin College of Engineering and Ocean Alliance, a multirotor unmanned air vehicle (UAV) named SnotBot is being developed to enable marine biologists to collect observational data and biological samples from living whales in a less intrusive and more effective way. In Summer 2014 tests conducted in the Gulf of Mexico it was demonstrated that SnotBot may not be an irritant to whales of study with respect to the noise and downdraft generated by the UAV [1]. The results from those field tests are being used to apply for research permits to collect samples from real whales. Until formal authorization to operate over whales is granted, controlled testing at Olin College and in the Gloucester Harbor of Massachusetts Bay is being conducted to characterize the vehicles and develop autonomy. Beyond cetacean/whale research, the ability to collect physical samples in difficult or sensitive locations, as demonstrated by SnotBot, has far reaching applications in environmental monitoring, aerial surveying, and diagnosis of a transient events.
  • Keywords
    autonomous aerial vehicles; control engineering computing; environmental monitoring (geophysics); geophysics computing; mobile robots; Olin College of Engineering and Ocean Alliance; SnotBot; UAV; aerial surveying; autonomous vehicle; cetacean research; environmental monitoring; living whale; marine biological research; marine biologist; multirotor unmanned air vehicle; remote sample collection; robotic system; scientific research; transient event diagnosis; whale monitoring; whale research; Fluid flow measurement; Noise; Oceans; Sea measurements; Testing; Vehicles; Whales; mission planning; multirotor; remote-sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies for Practical Robot Applications (TePRA), 2015 IEEE International Conference on
  • Conference_Location
    Woburn, MA
  • Type

    conf

  • DOI
    10.1109/TePRA.2015.7219660
  • Filename
    7219660