ROV Exploration Hydro Thermal Vent Sites

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    Robotic Oceanographic Exploration of Hydrothermal Vent Sites

    On The Mid-Atlantic Ridge At 37 North 32 West

    R. Bachmayer, S. Humphris, D. Fornari, C. Van Dover, J. Howland, A. Bowen, R. Elder,

    T. Crook, D. Gleason, W. Sellers, and S. Lerner1

    1 The authors gratefully acknowledge the support of the National Science Foundation under Grant number OCE-9505579 and OCE-9627160. The authors were members of the

    engineering and scientific staff of the 1996 Lucky Strike Cruise. Humphris and Fornari were the cruise chief scientists, and are with the WHOI Department of Geology and

    Geophysics. Van Dover is with the the West Coast National Undersea Research Center at the University of Alaska, Fairbanks. Bowen, Elder,Crook, Gleason, Howland, and

    Lerner are with the WHOI Deep Submergence Laboratory. Bachmayer is with the Department of Mechanical Engineering, Johns Hopkins University. Support for Bachmayer was

    provided by the National Science Foundation under grant number BES-9625143 held by Louis Whitcomb. WHOI contribution number XXXX.

    Abstract

    This paper reports results from an oceanographic

    expedition to hydrothermal vent sites at the "Lucky

    Strike" segment (37N 32W) of the Mid-Atlantic Ridge

    during summer 1996 with the Jason/Medea, Argo II, and

    DSL-120 underwater robotic systems. This deployment is

    used to discuss and illustrate how novel underwater robots

    dramatically enhance and augment, but do not replace,

    conventional field methods of deep-ocean oceanographic

    science, and to illustrate the capabilities and limitations ofpresent day underwater robotic systems.

    1. Introduction

    The last decade of research has seen underwater robot

    technology evolve from fragile laboratory engineering

    prototypes into mature field tools for oceanographic

    science. These new robot systems provide unprecedented

    techniques for oceanographers to explore the world's

    oceans. Since 1985 when the ARGO robot system was

    used to discover the wreck of the H.M.S. Titanic in the

    North Atlantic, robots have explored hydrothermal vent

    fields in both the Atlantic and Pacific Oceans, conductedmid-water acoustic, biological, and physical-

    oceanography experiments, and performed under-ice

    surveys in both the Arctic and Antarctic Oceans.

    The underwater robot systems which are used

    successfully for scientific research appear to share several

    distinguishing features. First, the engineering research

    teams developing these robots work in close collaboration

    with practicing Oceanographers (Biologists,

    Geophysicists, Marine Chemists, and Physical

    Oceanographers) to design systems capable of performing

    the surveying, sampling, and manipulation tasks essential

    to quantitative oceanographic science. These robots are

    designed to support a great variety of oceanographicinstrumentation, to navigate precisely, and to provide

    comprehensive multi-modal data-collection to produce

    first-quality scientific data-sets. Second, the robotics

    research teams actively collaborate with ocean scientists

    to deploy their robots to conduct research on

    oceanographic expeditions. Lessons learned in the field

    are used to improve the design of these robots, and to the

    design subsequent generations of robotic systems. Third,

    these robotic systems are designed to perform tasks that

    are expensive, impractical, or not feasible with other

    oceanographic field methods such as manned

    submersibles, SCUBA, surface acoustics, satellite remote

    sensing, and cable sampling.

    The goal of this paper is to elucidate the role ofunderwater robotics in the context of deep-ocean scientific

    research, to illustrate the capabilities of present-day

    systems, and to identify engineering research problems

    that currently limit the performance of operational

    underwater robot systems in scientific missions.

    2. Deep-Ocean Scientific Field Research:

    Past, Present, and Future

    Two different approaches have traditionally been used for

    observations and sampling of the seafloor beyond the

    continental shelf. The first involves lowering different

    types of instrument packages (to collect acoustic and/orphotographic imagery) or sampling devices (to collect

    geological or biological samples) to the seafloor on the

    end of a wire from a surface ship. Much of the early

    seafloor observational research was conducted in this way,

    and this approach still provides an efficient and relatively

    inexpensive method of investigation that is best suited to

    completing scientific objectives that require sampling over

    large areas. However, there are a number of limitations

    associated with these techniques. For example, a camera

    sled has to be recovered in order to retrieve the

    photographic film, which then must be processed,

    reviewed and co-registered with the navigation from the

    tow in order to geodetically locate features of interest. Adredge haul of rocks provides samples of the types of

    material present along a given track, but the geologic

    relations between seafloor features and their different

    lithologies are lost.

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    A considerable advance was made with the increasing use

    of submersibles for deep-sea research [2,7,8]. These allow

    one or two scientists per dive to make direct observations

    of seafloor features and their geologic and tectonic

    relationships, and to make real-time sampling decisions.

    Every sample, whether geological or biological, is

    therefore precisely located on the seafloor relative to itswell-characterized geologic setting or ecological habitat.

    In addition, dexterous manipulative capabilities of

    submersibles, and their capacity for large payloads, enable

    researchers to deploy and service instruments and

    experimental equipment on the seafloor at precise

    locations. Several submersibles, operated by different

    countries, have been used routinely for oceanographic

    research for many years. For instance, the DSV Alvin,

    operated by the Woods Hole Oceanographic Institution,

    has now completed over 3000 dives, with a >95% success

    rate over the last 10 years. Although considerably more

    expensive than instrument deployments from surface

    ships, studies from submersibles have been fundamental indiscovering unique geological, geochemical and

    biological phenomena and furthering our understanding of

    many important seafloor processes.

    The latest technological developments in fiber-optics and

    robotics, and their application to deep-sea investigations,

    have added additional capabilities that complement the

    two approaches described above and provide new

    strategies for carrying out deep submergence research

    programs [1,6]. The use of fiber-optic cable to transmit

    data - with both towed instrument packages and remotely-

    operated vehicles (ROVs) - allows scientists on board a

    surface ship to view, and react to, sensor data and acoustic

    and video/photographic imagery in essentially real-time.

    Real-time capabilities permit nested survey strategies, in

    which data collected at a broad scale with one vehicle can

    be used immediately to plan smaller-scale surveys during

    the same cruise. Nested surveys are especially important

    when working in logistically remote situations where

    staging expenses prohibit timely return to a site.

    For example, during a recent cruise to the Lucky Strike

    hydrothermal field located on a Mid-Atlantic Ridge

    seamount near 37 17N, scientific goals included placing

    the hydrothermal activity within the context of the

    structural geology of the region (on the order of several

    km2) as well as study of the biological and chemicalcharacteristics of the hot springs themselves (at a scale of

    m2). This kind of effort requires a nested survey approach.

    Image Credit: S. Humphris and Dan Fornari/WHOI 1996

    Figure 1: Bathymetry of the Lucky Strike segment of the Mid-Atlantic

    Ridge at 37N 32W obtained by the Authors in Summer 1996 using the

    SeaBeam 2100, the R.V. Knorrs hull mounted multi beam depth

    profiling system

    The DSL-120 sidescan sonar system was first used to

    collect 120 kHz sonar data (in 1 km swaths) and co-

    registered bathymetry over a 26 km-long portion of the riftvalley to investigate relations between crustal accretion

    processes at the segment-scale. This was followed by

    more detailed investigation of the summit of the seamount

    using the ARGO-II optical/acoustic imaging system to

    collect high-resolution acoustic and photographic imagery

    to establish the geotectonic setting and distribution of

    hydrothermal vents. Based on these data, several

    hydrothermal sites were then selected for detailed imaging

    and collection of samples using the ROV Jason. The

    creative use of this combination of vehicles proved very

    powerful in terms of achieving the scientific objectives of

    the cruise. The large amounts of data that were collected

    at a variety of scales provided both synoptic overviews aswell as detailed, high resolution observations.

    An added advantage of data transmission from a mapping

    vehicle or an ROV to the surface is the ability for several

    scientists to simultaneously make observations and

    participate in the real-time decision-making process,

    rather than one or two scientists in a submersible working

    in isolation. This is particularly helpful during field

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    programs that are multidisciplinary, such as studies at

    hydrothermal sites on mid-ocean ridges. Having

    geologists, chemists and biologists "present" at all times

    allows the work to proceed along a strategy based on

    integrated interpretation of all the data. Observations can

    be made by the appropriate specialists and directly entered

    into a computer logging program as the work proceeds.This has two effects: it results in more consistency in the

    description of seafloor features and biological organisms

    than is achieved by a number of different scientists who

    each participate in perhaps two to four dives during a

    submersible dive series; and, second, the database

    constructed in real-time can be used for preliminary

    mapping of major geologic units and biological

    communities within a short period of time following

    collection of the data and merging of the navigational

    information. Sample collection and experimental

    manipulations are also optimized by the "presence" of

    multiple scientists. The appropriate specialists can select

    their own sampling sites and can direct the experimentalor sampling procedures, thus avoiding others having to

    take this responsibility.

    Image Credit: S. Humphris and Dan Fornari/WHOI 1996

    Figure 2: Electronic photograph of active hydrothermal vent at the

    Statue of Liberty site at 37N 32W . This is one of approximately

    24,000 still images obtained by the Authors in Summer 1996 using the

    Argo II underwater robot.

    The other important feature of the fiber-optic cable is the

    capability to provide towed and remotely operated

    vehicles with electrical power from the surface rather than

    from subsea batteries built in the towed instrument

    package or submersible. This means that lowerings can

    last for many days with data being collected continuously.

    This type of operation requires three teams of scientists to

    provide direction and maintain the data and sample

    collection process throughout each 24-hour period,

    making it very people-intensive. For example, on the

    Lucky Strike cruise mentioned above, the ARGO-II

    lowering lasted five days, during which over 24,000

    digital images of the seafloor (together with other

    photographic and acoustic imagery) were collected.

    For remotely operated vehicles, the extended on-bottom

    time (compared with submersibles which have to be

    recovered every 8-12 hours to recharge batteries and rest

    personnel) is partially offset by two factors. First, in order

    to move the ROV beyond its tether length (i.e. 35 m in the

    case of ROV Jason mentioned above), coordinated and

    sometimes time-consuming maneuvers of the ship are

    necessary. Second, the small payload of current ROVs

    relative to submersibles for instrumentation, sampling

    devices, and samples results in the use of elevators to take

    equipment/samples down to the bottom and return them to

    the surface being a necessity for any sampling program.

    Consequently, driving to the elevator site and transferring

    equipment and samples can be time-consuming.

    Although ROVs do not, as yet, have as great a payload

    capability or the stereoscopic cognitive presence that

    submersibles offer, they can carry out many of thetraditional tasks that submersibles have been used for in

    the past, and they can remain submerged for long periods

    of time transmitting vast amounts of data to the surface.

    They also offer vastly increased performance in high

    resolution sonar and image-based mapping investigations

    of small areas compared to submersibles.

    Over the past 25 years, we have learned a great deal about

    what kinds of deep submergence capabilities are needed

    to effectively address the next generation of inter-

    disciplinary scientific questions that face the community

    of deep-sea oceanographers. The suite of deep

    submergence vehicles has been augmented considerablythrough fiber-optic technology and robotics, and new

    approaches to carrying out field programs are beginning

    to emerge. Scientists can now collect a variety of data

    continuously and in real-time using towed vehicles over a

    wide range of spatial scales, and use that information

    almost immediately to direct their scientific research. The

    synergy afforded by the utilization of the appropriate suite

    of vehicles, combined with their creative application to

    scientific problems, will have a major impact on future

    approaches to deep-sea research and exploration.

    3. Engineering and Operations: DSL-120,

    Jason/Medea, and Argo II

    This section gives an overview of the DSL-120,

    Jason/Medea, and Argo II vehicles, material, and the

    operations.

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    3.1 DSL-120

    The DSL-120, shown in Figure 3, is deep-towed sidescan

    sonar platform designed for continuous operations down

    to 6000 meters depth. It was developed by Dr. Kenneth

    Stewart of the WHOI Deep Submergence Laboratory in

    collaboration with the University of Washington.

    DSL-120 is a 120kHz high-resolution swath bathymetric

    (sidescan) sonar. The sonar is instrumented to detect both

    magnitude and phase information of sonar pulses, and in

    consequence can be used to generate highly accurate 3-D

    bathymetric maps. The vehicle is neutrally buoyant, and is

    connected to a 1000Kg depressor weight by a neutrally

    buoyant tether 50m in length. The depressor weight and

    vehicle are lowered on a 0.68 diameter main cable from

    the traction winch of a surface ship. Vehicle depth is

    controlled by varying the length of the main cable. Both

    the main cable and tether provide power conductors as

    well as optical fibers for data communication. The vehicle

    is normally towed at approximately 2 km/h at an altitudeof about a 100-200m altitude above the seafloor. At this

    height the sonar swath extends about 0.5 Km to either side

    of the vehicle., and provides approximately 1 meter-

    resolution bathymetry.

    Photo Credit: Margaret Sulanowska/WHOI 1996

    Figure 3: The DSL-120 deep-towed sonar vehicle being launched from

    the deck of theR.V. Knorrin August 1996.

    A computer-based processing system on board the surface

    ship receives real-time telemetry from the vehicles via

    optical fibers, displays the sidescan data in real-time, and

    time-stamps the data to permit cross-referencing to vehicle

    navigation data, and logs the data to disk and tape. These

    data, including vehicle attitude, are then used to generate

    high resolution backscatter and bathymetric maps in near-real-time.

    3.2 Argo II

    Argo II, shown in Figure 4, is an 2100kg ROV designed

    to support acoustic and optical imagery at depths to 6000

    meters. The original Argo was a coaxial camera platform

    developed at the Deep Submergence Laboratory in the

    early 1980s. In 1994 Argo II was constructed (using

    Argo's original steel frame) as a next-generation

    computer-controlled fiber-optic vehicle. It is negatively

    buoyant, and normally lowered on a 0.68 cable from the

    traction-winch of a surface ship. As with the DSL-120,Argo II's depth is controlled with the traction winch. The

    main cable provides both power and fiber-optic data/video

    connections to the surface ship. ARGO II is equipped with

    two laterally mounted thrusters that enable the pilot to

    remotely control the vehicle heading and lateral position

    under joystick control. Argo II is normally towed at about

    10m above the sea-floor at a speed of about 1km/h.

    Photo Credit: Margaret Sulanowska/WHOI 1994

    Figure 4: ARGO II in 1994 at 26N 44W being recovered on the deck

    of theR.V. Knorrafter a five-day deployment at 3500 Meters depth onthe Mid-Atlantic Ridge.

    Argo II is equipped with three Silicon Intensified Target

    (SIT) b/w cameras, one color camera, one 35mm film

    camera, and an electronic Still Camera (ESC). All

    cameras can be viewed in real-time on the surface ship.

    Illumination is provided by 2500 Watts of incandescent

    flood lighting and four 800 Watt/second strobe lights. The

    ESC produces 1024x1024x16-bit images of the seafloor.

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    With altitude and position information, scientists use the

    ESC images to construct mosaics of the sea-floor. The

    vehicle can be equipped with a transmissometer, a

    conductivity-temperature-depth (CTD) sensor, 3-axis

    magnetometer, 100kHz (for obstacle avoidance) or

    200kHz split-beam sidescan sonar, scanning pencil-beam

    sonar, and a variety of additional scientific instruments.Analog, digital, and serial interfaces are provided to

    support almost any possible science instrumentation

    package. All data is time-stamped and logged in real-time

    on the surface ship.

    Argo II's navigation suite includes a fluxgate magnetic

    compass, a heading gyro-compass, redundant roll and

    pitch attitude sensors, attitude rate sensors, a pressure

    depth sensor, and a 100kHz acoustic altimeter. The

    vehicle's position is determined with a transponder-based

    longbaseline (LBL) acoustic navigation system.

    3.3 Jason/MedeaJason, Figure 5, is a 1200 kg ROV designed for 6000m

    teleoperation. Jason is neutrally buoyant, and is connected

    to a 1000kg depressor weight (Medea) by a neutrally

    buoyant tether 35m in length. It is lowered on a 0.68

    diameter main cable from the traction winch of a surface

    ship. The depressor weight depth is controlled by varying

    the length of the main cable with a ship-board traction

    winch. Both the main cable and tether provide power

    conductors as well as optical fibers for data

    communication. Video images from Jasons cameras plus

    video from Medeas black and white camera are up-linked

    in real-time to a control room on the mother ship, where

    they are viewed by a pilot who flies the vehicle remotely

    under joystick control. Jason is fully actuated with 7

    brushless DC thruster motors that enable the remote pilot

    to freely maneuver Jason in 3-D with a top speed of about

    2 km/h.

    The Jason/Medea ROV system was developed at the

    WHOI Deep Submergence Laboratory, and first deployed

    in the Mediterranean in 1989. Since that time

    Jason/Medea has been deployed on dozens of scientific

    missions around the world. Like Argo II, the Jason/Medea

    system became part of the Deep Submergence Operations

    Group, a national research facility, in 1995.

    In 1992, Jason was upgraded by researchers at the Deep

    Submergence Laboratory with a new modern 32-bit

    control system with extensive data processing and I/O

    capabilities [4,6]. Jason and Argo II now share this

    common computer control system. Jason supports the

    entire suite of scientific and navigation instruments listed

    for Argo II in the previous section. The custom on-board

    computers, telemetry, and power electronics inhabit three

    cylindrical titanium pressure housings with a 15cm

    diameter and a length of 1m.

    In addition, Jason supports a variety of instruments not

    supported on Argo II including a pan/tilt camera platform

    and a 300kHz ultra-high accuracy acoustic navigation

    system. The vehicle is passively stable in roll and pitch;

    position and heading are actively controlled degrees of

    freedom. It can be operated in either open-loop or fully

    closed-loop positioning modes.

    Jason is equipped with a custom-designed 5-axis robotic

    arm that is teleoperated by the pilot. This arm, coupled

    with the vehicles high maneuverability, enables Jason to

    perform a huge variety of scientific tasks such as water-,

    plankton-, rock-, sediment core-, and biological sampling,

    and collecting temperature data.

    Photo Credit: Margaret Sulanowska/WHOI 1996

    Figure 5: JASON, a 6000 meter underwater robot for oceanographic

    research developed and operated by the Woods Hole Oceanographic

    Institution.

    3.4 Elevator System

    ROV operations make it possible to stay underwater for

    extended periods of time, resulting in a large quantity of

    data transmitted up the cable. Jasons manipulative

    capabilities permit the use of a variety of sampling tools

    and collection of a large number of samples. Tool and

    sample storage on Jason quickly become limiting during

    extended deployments. When the vehicle's maximum

    payload capacity is reached, samples and/or tools must be

    off-loaded into an independent vehicle deployed on the

    work site, the elevator, Figure 6. The elevator serves as adelivery truck for Jason. An elevator consists out of a

    basket equipped with five 17'' glass flotation spheres and

    one 17'' acoustic transponder. The device is simply

    released from the surface ship with an anchor hanging 6-

    7m below it. After the elevator is filled with samples and

    tools by Jason, the anchor release is triggered acoustically

    from the surface ship. During the summer 1996 cruise,

    eight elevators were deployed at various locations. As the

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    elevator ascent and descent trajectory is not actively

    controlled, it takes a considerable amount of experience --

    and luck -- to place it close to the desired location.

    Photo Credit: Margaret Sulanowska/WHOI 1996

    Figure 6: An elevator being deployed fromR.V. Knorr.

    3.5 Operations and Material

    Jason/Medea, Argo II, and the DSL-120 are normally

    deployed from a dynamically-positioned surface ship such

    as the 3000 ton R.V. Knorr, Figure 8. The vehicles are

    connected to the ship via custom-manufactured "main

    cable" with a diameter of 0.68, a length of 9km, and a

    strength of 200kN. Inside the triple-layer tension elements

    of the cable are 3 copper conductors and 3 optical fibres.

    The copper conductors supply the vehicle with about

    20kVA of electrically isolated 1800 Volts AC power at

    400Hz from a Jetway-power supply. On the vehicles the

    400Hz AC is transformed and rectified to supply the on-

    board 120V DC supply bus. One of the three optical fibersis reserved for digital data telemetry from the vehicles.

    The other two fibers provide four video channels. The

    capacity of a single fiber is 1.2Gbits/sec, and at present

    the digital data telemetry rate is about 125Mbits/sec.

    This type of cable must be spooled and stored with near-

    zero residual tension. The 24500kg DYNACON cable

    handling system consists of three main parts: a drum with

    cable (13200kg), a level-winder unit (1100kg), and

    tractionwinch unit (10200kg). The unit is able to spool

    18000kg at a speed of 35 meters/minute or the normal

    4500kg operating load at a maximum 120 meters/minute.

    One of the major operational concerns during a cruise is

    spare parts. There are no parts vendors at sea and,

    accordingly, a huge inventory of spare parts must be

    carefully maintained by the operational personnel. One 20'

    shipping container contains nothing but gear and spares.

    Another 20' shipping container has been modified to

    contain a fully equipped workshop. This "tool van" holds

    all the necessary tools to maintain and repair the vehicles

    and associated equipment.

    Two 20' shipping containers "control vans" were specially

    modified to bolt-together to form a portable "mission

    control center" for conducting vehicle operations. The

    DSL crew can install the entire system on a surface ship in

    about 3 days. Once installed, operations are conducted by

    4 people in the control van in close collaboration with the

    officers and crew on the ship's bridge. The pilotteleoperates the robotic vehicle and remotely operates its

    on-bord equipment. The navigator monitors the vehicle

    acoustic navigation and pilots the surface ship via closed-

    loop dynamic positioning. The engineerkeeps track of all

    the life functions of the vehicles and instruments and

    assists the pilot. These three individuals coordinate their

    efforts to collect scientific data and samples under the

    direction of the chief scientist. On a long duration cruise

    the vehicles are typically operated 24 hours a day by three

    complete crews of operational personnel.

    Photo Credit: Louis Whitcomb/WHOI 1996

    Figure 7: Control Van: The mission control for ROV operations. From

    left to right are stations for the Engineer, Pilot, and Navigator.

    3.5 Navigation

    Science is based on reproducible results. The physical

    location of surveys and sampling operations must be

    carefully documented in a standard international

    geographical coordinate system. For land-based and air-

    based operations, the U.S. sponsored Global Positioning

    System (GPS) provides an inexpensive and highly precise

    radio-frequency based system for documenting scientific

    survey and sample operations. In the ocean, however,

    normal radio-frequency waves do not propagate and,

    accordingly, GPS and other radio-frequency navigationsystems are inoperable. Military submersibles commonly

    employ inertial navigation systems (INS) for absolute 3-D

    navigation, but the high cost of these systems has

    precluded their widespread use in underwater robotic

    vehicles. Acoustic time-of-flight navigation is the most

    commonly employed technique for absolute 3-D

    navigation of underwater robotic vehicles.

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    Two types of acoustic navigation systems are commonly

    used and commercially available. Long Baseline (LBL)

    acoustic navigation systems operate at frequencies around

    10kHz over baselines of the length of about twice the

    water depth. Ultra Short Baseline (USBL) acoustic

    navigation systems typically operate at frequencies from

    100kHz to 1MHz and deliver a range resolution of acouple of centimeters. Due to the attenuation of high

    frequency sound in water, the range of USBL is limited to

    a few hundred meters. Update rates for both types of

    systems are limited by the speed of sound in water, about

    1500 meters per second, which determines the travel time

    of an acoustic pulse.

    For the large scale operations of the 1996 Lucky Strike

    deployments, LBL navigation was used exclusively. The

    LBL navigation systems components are (i) seafloor based

    transponders, (ii) relay-transponders on the vehicles, (iii)

    transducers on the vehicles, (iv) hull-mounted transducers

    onboard the surface ship, and (v) a highly accurate GPS

    (differential GPS or military P-code GPS) onboard the

    surface vessel.

    Photo credit: WHOI 1994

    Figure 8: The R.V. Knorr, a 3000 ton oceanographic research vessel

    operated by the Woods Hole Oceanographic Institution for the scientific

    community.

    LBL navigation works on the principle that distances

    between any two transponders can be computed directly

    from the time-of-flight of an acoustic pulse traveling

    between the two transponders. The actual acoustic

    interrogation pattern can be surprisingly complex in a

    LBL deployment of, for example, three simultaneously

    moving vehicles. When the position of anchored

    transponders is known, as well as the sound-velocity

    profile (sound-velocity versus depth), then the relative

    position of the vehicles in the transponder network can be

    computed. The accuracy of LBL navigation can be asgood as +/-2m with a 1km baseline. When the terrain is

    not flat, the transponders are moored above the sea-floor

    on long tethers to reduce acoustic shadowing due to the

    terrain, although this makes the system susceptible to

    currents (tidal currents) that perturb the transponder

    positions.

    In order to determine a bottom-moored transponder's

    position, a net survey has to be performed. This is done

    by driving the surface vessel through the net while

    interrogating all transponders. The resulting round-trip

    acoustic travel times are recorded along with the ships

    trajectory as reported by the GPS. Using this data the

    actual transponder coordinates can then be estimated.

    During the mission the position fixes for the subsea and

    surface vehicles (as well as other information) is made

    available on the logging computer and shipboard

    computer network.

    4. Conclusion

    Useful underwater robotic systems for ocean science are

    designed specifically to perform a scientifically essential

    data collection or sampling task that is infeasible with

    existing oceanographic techniques, or to improve upon

    existing techniques by providing an economy, efficiency,

    or accuracy that justifies their use. In addition, most

    successful underwater robotic systems can simultaneously

    accommodate an ever-changing assortment of on-board

    scientific instruments. In order to achieve these goals, it is

    essential that the engineering research teams collaborate

    closely, both in the laboratory and the field, with

    practicing ocean scientists.

    The engineering development of Argo II, Jason/Medea,

    and the DSL-120 has been driven by the goal of

    producing first-quality scientific data sets and samples.

    This would not have been possible without the close

    collaboration with and feedback from ocean scientists who

    are willing to explore new and unorthodox methodologiesof subsea scientific research. These robotic systems were

    engineered (and re-engineered) from unreliable laboratory

    prototypes into stable operational platforms for deep-

    ocean scientific research. This ongoing engineering

    research and development effort has been informed by the

    harsh reality of ongoing successes and failures in field

    operations. In the example of Jason/Medea, the result is

    that almost none of the components and sub-systems

    comprising these vehicles is "original equipment", most

    having been replaced by improved designs that can

    survive and function in the field. This underwater robot

    engineering effort has benefited enormously from lessons

    learned byAlvin's engineering team during their 25 yearsof pioneering deep-ocean research. The ongoing

    collaboration under the Deep Submergence Operations

    Group continues to be highly productive.

    A huge variety of problems remain to be solved. The need

    for more accurate and reliable subsea navigation methods

    is acute. While long baseline acoustic navigation is likely

    to remain the standard methodology for large scale survey

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    operations, significant improvements are needed in the

    range, sensitivity, and accuracy of LBL instrumentation.

    Novel hybrid navigation methodologies incorporating

    technologies such as LBL, ultra-short baseline acoustic,

    doppler acoustic, optical, and inertial navigation hold

    promise of dramatically improving operational navigation

    capabilities.

    Our inability to automatically control the position of

    underwater vehicles with sufficient accuracy limits the

    operational scope of both tethered and untethered

    underwater robotic vehicles. A variety of open issues in

    the dynamical modeling and control of both vehicles and

    their actuators have yet to be resolved. Improved

    navigation, noted above, is an essential antecedent to

    improved closed-loop vehicle control. Our ability to

    reliably manipulate subsea objects and perform tasks with

    on-board robot arms remains primitive. Moreover,

    improved vehicle control performance and manipulation

    capability is essential to the development of the next

    generation of untethered robotic vehicles. These

    untethered vehicles are presenting novel engineering

    challenges due to their inherent power and telemetry

    constraints.

    The enormous multi-modal data sets generated by

    underwater vehicles (often amounting to Terra-bytes of

    data) present unique data-processing challenges. The data-

    set generated during a typical deployment might include

    still film images, digital electronic images, video, several

    different types of sonar data, navigation data, data from

    perhaps dozens of scientific instruments, and actual

    physical samples. New computational tools for accessing,

    integrating, searching, and visualizing these data sets willdramatically increase their utility and dissemination

    among ocean scientists.

    Acknowledgments

    Captain A. D. Colburn, the officers, and crew of the

    R.V.Knorr provided enthusiastic and highly professional

    support during the 1996 Mid-Atlantic Ridge operations.

    Louis Whitcomb encouraged the writing and submission

    of this paper. The authors are grateful for their

    contributions. We wish to acknowledge the generous

    support provided to the National Deep Submergence

    Facility at WHOI by the National Science Foundationunder Grant number OCE-9627160, the U.S. Office of

    Naval Research, and the National Oceanic and

    Atmospheric Administration. The cruise was funded by

    NSF Grant number OCE-9505579 (to D. Fornari and S.

    Humphris).

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    Transponders are tuned such that they all listen to the

    same frequency (usually 9kHz) and respond on an

    individual frequency that allows the operator to

    distinguish between different returns.

    A typical navigation cycle in the relay-mode can be

    described as following: Suppose the relay transponder on

    the vehicle is tuned to listen to 8kHz and answers on9kHz. The surface ship sends out a 8kHz ping and listens.

    The relay is triggered and responds at 9kHz, which is also

    the calling frequency for the transponders. The ship has

    heard the 9kHz answer of the vehicle as well as it hears all

    the responses of the transponders. Suppose the position of

    the individual transponders is known as well as the sound-

    velocity profile (sound-velocity versus depth) then the

    relative position of the vehicle in the transponder net is

    determined using the rms of the computed positions.

    Successful technology is most rapidly and effectively

    developed

    Methods evolve out of experience as tools evolve out of

    needs. The needs of ocean sciences to learn more about

    the oceans enhanced the development of the deep diving

    submersibles like Alvin. Engineers learned a lot from

    Alvins success. This experience was transferred into the

    development of the vehicles described above. The close

    cooperation with scientists during and after the

    development of the Jason/Medea, Argo and DSL-120

    proved its value. The scientists interest in getting most

    out of an available tool together with flexible platforms

    like Jason/Medea guarantee continuous development and

    steady improvements that will finally result in a new

    generation of vehicles. The described cruise showed thepower and correctness of this approach.