From deep-sea rovers to digital clipper ships, surface and subsea builders race to introduce AI into their marine robots.
From deep-sea rovers to digital clipper ships, surface and subsea builders race to introduce AI into their marine robots. Plus, National Science Foundation awards $53M for a global observation system of ocean-monitoring robots
With water covering some 71 percent of the Earth’s surface as oceans, inland seas, lakes, and rivers—and with most of it unexplored, little surveyed, and otherwise underutilized—a maritime career in “smart” robotics could well be a very wise choice for a lifetime of important work on behalf of the planet, its inhabitants, and one’s own bank account.
To get an idea of the scope of this workplace, if all of the Earth’s water were gathered together as a sphere, it would measure 860 miles in diameter—about the size of a small planet—and contain over 300 million cubic miles of liquid. That’s a lot of water…and a behemoth of a workplace.
Timing for such a maritime career choice couldn’t be better as digital transformation in this watery realm is already well underway, exposing evermore opportunities for totally new careers or for those seeking to reskill away from jobs on the wane.
Much of this new career track will involve the design, building, operation and maintenance of subsea and surface robots—autonomous maritime vehicles. And an ever-growing percentage of this fleet will possess enhanced capabilities enabled by artificial intelligence (AI). In short, “smart” maritime surface and subsea robots.
As, Jake Tompkins, CEO of UK-based Modus, builder of unmanned underwater vehicles, puts it: Companies are racing to introduce AI into their underwater vehicles. Emphasis on racing!
One obvious and necessary job for AI-enabled subsea robots is high-resolution mapping of the ocean floor. Although nearly all of the seafloor has been previously mapped, it’s all in low resolution. We’ve mapped the Moon at higher resolutions than Earth’s oceans.
If we want to know what’s down there, like precious metals, rare earths, and other minerals, or new marine life, or new biologics, or just new ways to lay undersea communications’ cables, hi-res mapping is a necessity, of which less than 5 percent exists. Hi-res mapping beneath 300 million cubic miles of water is an enormous job. Also, since you can’t map something that you can’t find, the autonomous surface and subsea navigation tech involved is equally important.
And once found and mapped and explored and discovered, what then? More autonomous technology will be needed to mine, collect, and otherwise extract the riches on sea floors miles beneath the ocean surface.
In toto, it’s collectively a multi-billion dollar set of new industries on the rise that will gainfully employ, educate, and enrich the people who work to make it all happen. And it’s all so new that its squeaky clean with opportunity.
As recent federal research, Revitalizing Coastal Shipping for Domestic Commerce, has reported: “In recent years, domestic shipborne commerce has lost much of its market to other modes. Although potential shipping routes run parallel to congested truck, railroad, and pipeline routes along the Atlantic and Pacific coasts and in the Great Lakes region, the volume of cargo carried by domestic ships has declined by 61 percent since 1960.
“Reviving coastal shipping would dramatically increase the capacity of the nation’s freight network. Moreover, some of the necessary infrastructure is largely in place, as many of the harbors the federal government dredges for deep-draft vessels currently have little or no ship traffic.”
Norwalk, CT-based First Harvest Navigation, a marine transportation company that connects family farms to urban and suburban neighborhoods, uses Boston, MA-based Sea Machines’ technology launched the first autonomous hybrid cargo vessel in the U.S.
Powered by Sea Machines’ autonomous command and remote-helm control system, the electric-powered Captain Ben Moore will also be the first hybrid cargo vessel to feature remote crew-assist technology and to generate zero emissions.
In addition to autonomous control and remote vessel monitoring tools, the navigation system also features obstacle detection and collision avoidance technology for added operational safety.
Captain Ben Moore provides freight services between Norwalk, CT and Huntington, NY, to deliver food and other cargo faster, more reliably and more affordably than truck transportation, reducing regional highway congestion. Comparable trucking services require a near nine-hour round trip to deliver within this location. Captain Ben Moore completes the terminal-to-terminal voyage in approximately 35 to 45 minutes.
Bob Kunkel, president, First Harvest Navigation, notes: “Shifting cargo from streets and highways also alleviates the growing congestion, lower emissions and reestablishes our waterways as a viable and cost-efficient alternative to land-based transport.”
“Without AI, autonomous underwater robots are pretty dumb—able only to follow pipelines and cables in pre-programmed lines,” says Brian Allen, CEO of UK-based Rovco, a maker of subsea robots.
“Rovco is one of several looking to disrupt that market using artificial intelligence (AI) systems. They see a future where underwater robots, known as autonomous underwater vehicles (AUVs), will be able to do the surveying work without much human oversight, and send the data back to surveyors in the office.
“Rovco is working on key pieces of the technology. It has trained an AI system to recognize objects on the seabed from data collected at sea, a process which took four years.
“Adding AI means the data does not have to be analyzed by a human on the ship, or taken back to shore for assessment. That work is actually being done there and then by the AI, which can operate on the ship, or soon on the underwater robot itself.
“Enabling the AUV to analyze data in real time means you can actually instruct the robot to do other things. If you come across a problem, the survey can be stopped, and more data collected, with the robot making decisions for itself,” he says.
“The goal is for robots to survey underwater structures with minimal human oversight.
“For some jobs, like dismantling underwater oil and gas infrastructure, engineers need to know the exact dimensions and locations of the equipment.
“To help with this Rovco has also developed a vision system that produces accurate maps of underwater infrastructure.
“The system generates a 3D cloud of individual data points, a format used in modelling software like CAD. It combines those points with camera images to generate a realistic 3D reconstruction.
“Rovco is currently bringing together the vision system, the AI and the underwater vehicle into one package.”
“At the moment only six countries have a commercial-scale offshore wind power industry. In 10 years, the forecasts say that 20 countries will have joined that club.
“Last year 29 gigawatts of offshore wind capacity was connected to electricity grids around the world. In 2029 Wood Mackenzie forecasts that number will hit 180 gigawatts.
“That will involve building thousands of wind turbines and laying thousands of kilometers of cable to connect up those wind farms and all of that will need the services of underwater surveyors.
“Jake Tompkins, CEO of UK-based Modus, which owns a fleet of 12 unmanned underwater vehicles. Modus is about to start a two-year program with Durham University to develop an artificial intelligence control system that would allow some of its underwater vehicles to recognize their location, objects and anomalies during a survey.
“Using autonomous subsea robots to inspect underwater structures would be a ‘game changer’”, he says, and should ‘significantly’ cut costs.
“He thinks it won’t be long before underwater robots will be stationed out at sea, perhaps at an offshore wind farm, or at an oil or gas facility.
“When needed, they will be awakened and sent to harvest data, which will be sent back to an onshore control center for processing.
“I think we’re probably two or so years away from the first commercial deployment of field-resident autonomous vehicles, but that is certainly where we are heading.
“There is a juicy prize for the firms that can make such intelligent underwater robots work. Over the next decade the offshore wind market is expected to see ‘quite extraordinary’ growth, according to Søren Lassen, head of offshore wind research at the consultancy Wood Mackenzie.
By 2029, much of that work at sea might be done by autonomous systems, with humans back at the office.”
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