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8/8/2019 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.