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Dive into the research topics where Brian Kieft is active.

Publication


Featured researches published by Brian Kieft.


ieee/oes autonomous underwater vehicles | 2010

Efficient propulsion for the Tethys long-range autonomous underwater vehicle

James G. Bellingham; Yanwu Zhang; Justin E. Kerwin; Jonathan Erikson; Brett Hobson; Brian Kieft; Michael Godin; Robert S. McEwen; Thomas Hoover; James C. Paul; Andrew Hamilton; Jeffrey Franklin; Andrew L. Banka

The Tethys autonomous underwater vehicle (AUV) is a 110 kg vehicle designed for long-range, high- endurance operations. Performance goals include supporting a payload power draw of 8 W for a range of 1000 km at 1 m/s, and a power draw of 1 W for 4000 km at 0.5 m/s. Achieving this performance requires minimizing drag and maximizing propulsion efficiency. In this paper, we present the design of the propulsion system, explore the issues of propeller-hull interactions, and present preliminary test results of power consumption and efficiency. In recent underwater experiments, the propulsion systems power consumptions were measured in both Bollard pull tests and during the vehicles flights. Preliminary results of power consumptions and efficiency are shown to be close to the theoretical predictions.


ieee/oes autonomous underwater vehicles | 2012

Tethys-class long range AUVs - extending the endurance of propeller-driven cruising AUVs from days to weeks

Brett Hobson; James G. Bellingham; Brian Kieft; Rob McEwen; Michael Godin; Yanwu Zhang

Most existing propeller-driven, cruising AUVs operate with a support ship and have an endurance of about one day. However, many oceanographic processes evolve over days or weeks, requiring propeller-driven vehicles be attended by a ship for complete observation programs. The Monterey Bay Aquarium Research Institute (MBARI) developed the 105 kg propeller-driven Tethys AUV to conduct science missions over periods of weeks or even months without a ship [1]. Here we describe a three week deployment covering 1800 km at a speed of 1 m/s, supporting sensor power levels averaging 5 watts. Unlike buoyancy driven gliders, Tethys uses a propeller that allows level flight and a variable speed range of 0.5 - 1.2 m/s. The extended endurance enables operations in remote locations like under the ice, across ocean basins in addition to enabling continuous presence in smaller areas. Early success led to the construction of a second Tethys-class AUV with a third in planning. An AUV docking station that can be mated to a cabled observatory or standalone mooring is in development to further extend Tethys endurance.


oceans conference | 2010

Thermocline tracking based on peak-gradient detection by an autonomous underwater vehicle

Yanwu Zhang; James G. Bellingham; Michael Godin; John P. Ryan; Robert S. McEwen; Brian Kieft; Brett Hobson; Thomas Hoover

Thermoclines play a key role in ocean circulation, marine ecology, and underwater acoustics. In oceanographic surveys, it is often desirable to detect the thermocline and track its spatio-temporal variation. Mobility of an autonomous underwater vehicle (AUV) makes it an efficient platform for thermocline tracking. In this paper, we present a fully autonomous algorithm for detecting and tracking the thermocline by an AUV. The key is detection of the peak gradient of temperature. We have tested the algorithm by post-processing data from a previous Dorado AUV survey over the northern Monterey Bay shelf. We are in preparation for field tests of the algorithm on the newly developed long-range AUV Tethys.


oceans conference | 2010

Scripting language for state configured layered control of the Tethys long range autonomous underwater vehicle

M. A. Godin; James G. Bellingham; Brian Kieft; Robert S. McEwen

A scripting language for state configured layered control of a long range autonomous underwater vehicle (AUV) is introduced. The XML-based language has been designed to meet the complex requirements for long-term autonomous operation. It does not require that mission planners be programmers, yet allows them to have a high degree of certainty at deployment that the robot will do what they want it to do. The script is simple to execute on the vehicle, both to minimize CPU power usage and to minimize the chance of failure due to complexity. Users do not need a high-fidelity model of the AUV to plan a mission, as the robot may change in unexpected ways over the course of the mission. Those who wish to do more advanced programming of mission commands and behaviors can do so in the script and are not able to crash the vehicles operating system. To address these needs, the “Tethys script” state-configured layered control language has been developed.


oceans conference | 2015

Tracking and sampling of a phytoplankton patch by an autonomous underwater vehicle in drifting mode

Yanwu Zhang; Brian Kieft; Robert S. McEwen; Jordan Stanway; James G. Bellingham; John P. Ryan; Brett Hobson; Douglas Pargett; James M. Birch; Christopher A. Scholin

Phytoplankton patches in the coastal ocean have important impacts on the patterns of primary productivity, the survival and growth of zooplankton and fish larvae, and the development of harmful algal blooms (HABs). We desire to observe microscopic life in a phytoplankton patch in its natural frame of reference (which is moving with the ocean current), thereby permitting resolution of time-dependent evolution of the population. To achieve this goal, we have developed a method for a Tethys-class long range autonomous underwater vehicle (AUV) (which has a propeller and a buoyancy engine) to detect, track, and sample a phytoplankton patch in buoyancy-controlled drifting mode. In this mode, the vehicle shuts off its propeller and actively controls its buoyancy to autonomously find the peakchlorophyll layer, stay in it, and trigger water sampling in the layer. In an experiment in Monterey Bay, CA in July 2015, the Makai AUV, which was equipped with a prototype 3rd-generation Environmental Sample Processor (3G-ESP), ran the algorithm to autonomously detect the peak-chlorophyll layer, and drifted and triggered ESP samplings in the layer.


oceans conference | 2014

Acoustic tracking and homing with a long-range AUV

M. Jordan Stanway; Brian Kieft; Thomas Hoover; Brett Hobson; Andrew Hamilton; Jim Bellingham

This paper presents the development effort toward demonstrating acoustic tracking and homing with a long-range AUV (LRAUV) at the Monterey Bay Aquarium Research Institute (MBARI). The acoustic tracking system uses a directional acoustic transponder (DAT) from Teledyne Benthos, backed by an acoustic baffle made from syntactic acoustic damping material (SADM). We discuss sensor integration into the LRAUV system, procedures and results from an in-house calibration, and field tests with both anchored and towed transponders.


IEEE Journal of Oceanic Engineering | 2017

Isotherm Tracking by an Autonomous Underwater Vehicle in Drift Mode

Yanwu Zhang; Brian Kieft; M. Jordan Stanway; Robert S. McEwen; Brett Hobson; James G. Bellingham; John P. Ryan; Thomas C. O’Reilly; Ben Y. Raanan; Monique Messié; Jason M. Smith; Francisco P. Chavez

Studies of marine physical, chemical, and microbiological processes benefit from observing in a Lagrangian frame of reference. Some of these processes are related to specific density or temperature ranges. We have developed a method for a Tethys-class long-range autonomous underwater vehicle (LRAUV) (which has a propeller and a buoyancy engine) to track a targeted isothermal layer (within a narrow temperature range) in a stratified water column when operating in buoyancy-controlled drift mode. In this mode, the vehicle shuts off its propeller and autonomously detects the isotherm and stays with it by actively controlling the vehicles buoyancy. The LRAUV starts on an initial descent to search for the target temperature. Once the temperature falls in the target center bracket, the vehicle records the corresponding depth and adjusts buoyancy to hold that depth. As long as the temperature stays within a tolerance range, the vehicle continues to hold that depth. If the temperature falls out of the tolerance range, the vehicle will increase or decrease buoyancy to reacquire the target temperature and track it. In a June 2015 experiment in Monterey Bay, CA, USA, an LRAUV ran the presented algorithm to successfully track a target isotherm for 13 h. Over the isotherm tracking duration, the LRAUV mostly remained in the 0.5


oceans conference | 2016

Range-only underwater target localization: Path characterization

I. Masmitja; Spartacus Gomáriz; J. del Rio; Brian Kieft; Tom O'Reilly

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oceans conference | 2016

Autonomous front tracking by a Wave Glider

Yanwu Zhang; Brian Kieft; Carlos Rueda; Tom O'Reilly; John P. Ryan; Thom Maughan; Christopher Wahl; Francisco P. Chavez

C (peak-to-peak) tolerance range as designed, even though the water columns stratification kept changing. This work paves the way to coupling an LRAUVs complimentary modes of flight and drift—searching for an oceanographic feature in flight mode, and then switching to drift mode to track the feature in a Lagrangian frame of reference.


oceans conference | 2015

A real-time vertical plane flight anomaly detection system for a long range autonomous underwater vehicle

Ben Y. Raanan; James G. Bellingham; Yanwu Zhang; Brian Kieft; M. Jordan Stanway; Robert S. McEwen; Brett Hobson

Underwater localization using acoustic signals is one of the main components in a navigation system for an AUV as a more accurate alternative to dead-reckoning techniques. While different methods based on the idea of multiple beacons have been studied, other approaches use only one beacon, which reduces the system costs and deployment complexity. The inverse approach for single-beacon navigation is to use this method for target localization by an underwater or surface vehicle. In this paper we present a method of range-only target localization using a Wave Glider™, for which simulations and sea tests have been conducted to determine optimal parameters to minimize acoustic energy use and search time and to maximize location accuracy and precision.

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Dive into the Brian Kieft's collaboration.

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James G. Bellingham

Woods Hole Oceanographic Institution

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Yanwu Zhang

Monterey Bay Aquarium Research Institute

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Brett Hobson

Monterey Bay Aquarium Research Institute

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John P. Ryan

Monterey Bay Aquarium Research Institute

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Robert S. McEwen

Monterey Bay Aquarium Research Institute

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M. Jordan Stanway

Monterey Bay Aquarium Research Institute

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Thomas Hoover

Monterey Bay Aquarium Research Institute

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Tom O'Reilly

Monterey Bay Aquarium Research Institute

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Ben Y. Raanan

Monterey Bay Aquarium Research Institute

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Francisco P. Chavez

Monterey Bay Aquarium Research Institute

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