Marine Robots’ Onboard Intelligence for Capturing Oceanographic Features OverviewTeamPublicationsLatest News MBARI is developing onboard intelligence for autonomous underwater vehicles (AUVs) and autonomous surface vehicles (ASVs) to recognize and react to oceanic features of interest by using onboard sensors, water sample acquisition and analysis systems, as well as input from remote sensing and collaborating robots.In the vast ocean, many ecologically important processes occur episodically in time and are localized in space. We therefore need to develop methods to direct limited and precious resources to the most relevant and informative locations to reliably and repeatedly achieve observation and sampling at the appropriate place and time. Traditional ship-based methods for detecting and sampling dynamic ocean features, such as fronts, are often laborious and very difficult, and long-term tracking of such features is practically impossible.In this research, we design onboard intelligence for autonomous underwater vehicles (AUVs) and autonomous surface vehicles (ASVs) to recognize oceanic features of interest and accordingly adapt behavior to optimally characterize the feature by using onboard sensors, water sample acquisition and analysis systems, as well as input from remote sensing and collaborating robots.These intelligent robots enable targeted sampling—quickly detecting particular ocean features and intensively sampling them as dictated by the science question at hand. A targeted sampling capability allows researchers to direct a limited number of marine assets to find features of interest and collect desired measurements/samples absent a human presence, thus significantly enhancing accuracy and efficiency of ocean studies. We seek to maximize targeted sampling gain by emphasizing collaboration between robots.Current ProjectsAdaptive Sampling by Autonomous Vehicles Team Directory Yanwu Zhang Senior Research Engineer Principal Investigator Brett Hobson Senior Mechanical Engineer Brian Kieft Senior Software Engineer Tom O’Reilly Senior Software Engineer John Ryan Senior Research Specialist Bill Ussler Senior Research Specialist Christopher Wahl LRAUV Lead Operations Engineer Carlos A. Rueda Senior Software Engineer Rob McEwen Control System Engineer Projects All Projects Sorry, no results were found. Publications All Publications Truelove, N.K., N.V. Patin, M. Min, K.J. Pitz, C.M. Preston, K.M. Yamahara, Y. Zhang, B. Y. Raanan, B. Kieft, B. Hobson, L.R. Thompson, K.D. Goodwin, and F.P. Chavez. 2022. Expanding the temporal and spatial scales of environmental DNA research with autonomous sampling. Environmental DNA, 4(4): 972–984. https://doi.org/10.1002/edn3.299 Zhang, Y., B. Kieft, B.W. Hobson, B.Y. Raanan, S. Urmy, K.J. Pitz, C.M. Preston, B. Roman, K.J. Benoit-Bird, J.M. Birch, F.P. Chavez, and C.A. Scholin. 2021. Persistent sampling of vertically migrating biological layers by an autonomous underwater vehicle within the beam of a seabed-mounted echosounder. IEEE Journal of Oceanic Engineering, 46: 497–508. https://doi.org/10.1109/JOE.2020.2982811 Zhang, Y., J.P. Ryan, B.W. Hobson, B. Kieft, A. Romano, B. Barone, C.M. Preston, B. Roman, B.Y. Raanan, D. Pargett, M. Dugenne, A.E. White, F. Henderikx Freitas, S. Poulos, S.T. Wilson, E.F. DeLong, D.M. Karl, J.M. Birch, J.G. Bellingham, and C.A. Scholin. 2021. A system of coordinated autonomous robots for Lagrangian studies of microbes in the oceanic deep chlorophyll maximum. Science Robotics, 6: 1–11. https://doi.org/10.1126/scirobotics.abb9138 Yamahara, K.M., C.M. Preston, J. Birch, K.R. Walz, R. Marin III, S. Jensen, D. Pargett, B. Roman, W. Ussler III, Y. Zhang, J. Ryan, B. Hobson, B. Kieft, B.Y. Raanan, K.D. Goodwin, F.P. Chavez, and C.A. Scholin. 2019. In situ Autonomous Acquisition and Preservation of Marine Environmental DNA Using an Autonomous Underwater Vehicle. Frontiers in Marine Science, 6: 1–14. https://doi.org/10.3389/fmars.2019.00373 Zhang, Y., C. Rueda, B. Kieft, J.P. Ryan, C. Wahl, T.C. O'Reilly, T. Maughan, and F.P. Chavez. 2019. Autonomous tracking of an oceanic thermal front by a Wave Glider. Journal of Field Robotics, 36(5): 940–954. https://doi.org/10.1002/rob.21862 Latest News All News News Taking the lab into the ocean: A coordinated fleet of robots successfully tracks and monitors microbial communities News 01.13.21 Technologies All Technologies Sorry, no results were found. Data All Data Sorry, no results were found.