Mesobot : An Autonomous Underwater Vehicle for Tracking and Sampling Midwater Targets

Authors

Dana R. Yoerger, Woods Hole Oceanographic Institution
Molly Curran, Woods Hole Oceanographic Institution
Justin Fujii, Woods Hole Oceanographic Institution
Christopher R. German, Woods Hole Oceanographic Institution
Daniel Gomez-Ibanez, Woods Hole Oceanographic Institution
Annette F. Govindarajan, Woods Hole Oceanographic Institution
Jonathan C. Howland, Woods Hole Oceanographic Institution
Joel K. Llopiz, Woods Hole Oceanographic Institution
Peter H. Wiebe, Woods Hole Oceanographic Institution
Brett W. Hobson, Monterey Bay Aquarium Research Institute
Kakani Katija, Monterey Bay Aquarium Research Institute
Michael Risi, Monterey Bay Aquarium Research Institute
Bruce H. Robison, Monterey Bay Aquarium Research Institute
Cailean J. Wilkinson, University of St Andrews
Stephen M. Rock, Stanford University
John A. Breier, The University of Texas Rio Grande ValleyFollow

Document Type

Article

Publication Date

11-2018

Abstract

Mesobot, a new class of autonomous underwater vehicle, will address specific unmet needs for observing slow-moving targets in the midwater ocean. Mesobot will track targets such as zooplankton, fish, and descending particle aggregates using a control system based on stereo cameras and a combination of thrusters and a variable buoyancy system. The vehicle will also be able to collect biogeochemical and environmental DNA (eDNA) samples using a pumped filter sampler.

Comments

Original published version available at https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8729822

Recommended Citation

D. R. Yoerger et al., "Mesobot: An Autonomous Underwater Vehicle for Tracking and Sampling Midwater Targets," 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), Porto, Portugal, 2018, pp. 1-7, doi: 10.1109/AUV.2018.8729822.

Publication Title

2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV)

DOI

10.1109/AUV.2018.8729822