Autonomous robots are essential to the future of marine science, engineering, and exploration. Understanding the ocean’s complex physical and biological processes requires robust observing systems, like MBARI’s long-range AUV (LRAUV). 

The LRAUV was designed to fill the need for a mobile underwater robot to observe upper ocean processes. It has been tested over 36,000 hours offshore across a fleet of eight vehicles and has a unique ultra-low energy transit mode, allowing the vehicle to be operated without a support ship. 

MBARI engineers have outfitted the LRAUV with various tools, allowing scientists to track and control the platform remotely and collect real-time ocean data through microbial sampling, bioluminescence, active bio-acoustic imaging, water sampling, plankton imaging, and multibeam mapping. 

A unique ultra-low-energy transit mode allows the LRAUVs to operate without a support ship while still supporting high-power payloads An open-source dynamic simulator, along with a backseat computer system, facilitates custom application development and testing. A novel offshore battery recharging station is being developed for the LRAUV to extend deployments to six months or more. 

The ocean is critical to life on Earth but faces a fragile future and a rising tide of threats. Monitoring ocean health is increasingly urgent, but logistically challenging. Scientists need nimble research tools to scale our observations of the ocean and its inhabitants. We envision a future where robotic platforms, like MBARI’s LRAUVs, can monitor ocean health 24 hours a day, 365 days a year.

Projects

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Publications

Zhang, Y., N. Yoder, B. Kieft, A. Kukulya, B.W. Hobson, S. Ryan, and G.G. Gawarkiewicz. 2022. Autonomous tracking of salinity-intrusion fronts by a long-range autonomous underwater vehicle. IEEE Journal of Oceanic Engineering, 47(4): 950–958. https://doi.org/10.1109/JOE.2022.3146584

Godin, A., J.G. Bellingham, B. Kieft, and R. McEwen. 2010. Scripting language for state configured layered control of the Tethys long-range autonomous underwater vehicle. In OCEANS 2010 MTS/IEEE SEATTLE, Seattle, W.A., September 2010, 1–7. IEEE. https://doi.org/10.1109/OCEANS.2010.5664515      

Stanway, M.J., B. Kieft, T. Hoover, B. Hobson, D. Klimov, J. Erickson, B.Y. Raanan, D.A. Ebert, and J. Bellingham. 2015. White shark strike on a long-range AUV in Monterey Bay. In OCEANS 2015-Genova, Genova, Italy, May 2015, 1–7. IEEE. https://doi.org/10.1109/OCEANS-Genova.2015.7271726

Kukulya, L., J.G. Bellingham, J.W. Kaeli, C.M. Reddy, M.A. Godin, and R.N. Conmy. 2016. Development of a propeller driven long range autonomous underwater vehicle (LRAUV) for under-ice mapping of oil spills and environmental hazards: An Arctic Domain Center of Awareness project (ADAC). In 2016 IEEE/OES Autonomous Underwater Vehicles (AUV), Tokyo, Japan, November 2016, 95–100. IEEE. https://doi.org/10.1109/AUV.2016.7778655

Cheriton, M., E.E. McPhee-Shaw, W.J. Shaw, T.P. Stanton, J.G. Bellingham, and C.D. Storlazzi. 2014. Suspended particulate layers and internal waves over the southern Monterey Bay continental shelf: An important control on shelf mud belts? Journal of Geophysical Research: Oceans, 119(1): 428–444. https://doi.org/10.1002/2013JC009360

Data

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