By David Vergun, Army News Service
It’s time for robots to replace soldiers for certain specialized tasks involving “dull, dirty or dangerous work and to reduce their cognitive load,” said Maj. Gen. Cedric T. Wins.
So the Army is now investing $30 million to harness the power of big data analytics, machine learning and artificial intelligence to create unmanned ground and aerial vehicles, such as future vertical lift and the next generation combat vehicle, said Wins, who is the commander of U.S. Army Research, Development and Engineering Command (RDECOM).
PHOTO CAPTION: Rear Adm. Michael P. Ryan, the U.S. Coast Guard’s assistant commandant for Capability (2nd from right) and Capt. Mark J. Shepard, commander of the USCG’s National Strike Force (right) hear about the array of robots the PEO CS&CSS Robot Logistics Support Center manages. The RLSC transferred 18 robots from its life cycle management team to the USCG for use in the fleet’s Strike Force Teams in May. The RLSC will also provide training and support for all 18 systems. CREDIT: MICHAEL J. MALIK
First, RDECOM, which is a subordinate command of Army Materiel Command, will instead fall under Army Futures Command once it is stood up this year, he said. This will allow AFC to enlist the talent and resources of some 10,000 engineers and scientists in RDECOM, along with its vast network of partnerships throughout industry and academia.
Besides investing in this new, enabling technology, the Army has taken two other significant steps toward enhancing robotics, he said.
Second, RDECOM has entered the Department of Defense’s Algorithmic Warfare Cross-Functional Team, code-named Project Maven, he said.
Project Maven was stood up to “integrate artificial intelligence and machine learning more effectively,” according to an April 26, 2017, memorandum from then-Deputy Secretary of Defense Bob Work, announcing its establishment.
“Although we have taken tentative steps to explore the potential of artificial intelligence, big data and deep learning, I remain convinced that we need to do much more, and move faster …” the memo states.
The project is divided into two phases, he said. Research in phase one involves developing computer decision algorithms to help analyze full-motion video input. Phase two consists of improving on the first phase by broadening the scope, scale and speed of the process to analyze data more quickly and comprehensively.
Although this all sounds simple, it’s really not, he said.
“To maximize big data, you need a very, very, very robust high-performance computing capability, focused on being able to deal with the volume of information, harness the speed by which data can be generated, and be able to deal with the diversity of data to make it meaningful and informative for the user and then having the ability to trust the information and verify and validate that data and then make it useful,” he said.
Why invest in this?
“The operational risk is if we don’t pursue these, we will continue to plow down the road of the status quo,” he said. “That means while we’re not taking advantage of these technologies, our adversaries will. And, we will continue to put soldiers in harm’s way when this meaningful technology might allow soldier s to avoid coming to harm.
Besides powering robots, the Army has other areas of interest for AI, machine learning and big-data analytics, said Brig. Gen. Rodney Fogg, commandant, U.S. Army Quartermaster School.
AI, big data and machine learning could utterly transform mission command, he said. The technology is already there to do it, and it’s very likely that will happen in five to 10 years.
Fogg provided an example of what the technology could do for mission command during a battle.
Imagine an operations officer at a command post directing a battle, he said. With an AI system in place, the soldier could voice-activate a smart computer by saying “logistics updates.”
An AI-driven system would then quickly respond with an update on quantities and types of ammunition on hand, fuel, maintenance required and medical readiness across the brigade, he said, to include sustainment estimates for the next 48 hours.
The computer would also inform the soldier when the next resupply mission will arrive and what it is carrying, he said.
All of this would be possible with powerful software, sensors in vehicles monitoring fuel level and maintenance requirements and relaying it wirelessly to the soldier in a useful and easy-to-understand, secure format, he said.
Lt. Gen. Aundre F. Piggee, G-4, said that the Army has already begun to leverage big data in useful ways.
“Last year, we successfully finished fielding the first increment of the Global Combat Support System—Army,” he said. “Now, we are working to bring in aviation units, and provide business intelligence capabilities through the employment of big data. This will move us close to our goal of total asset visibility.”
GCSS-Army does things like track supplies, spare parts, organizational equipment, maintenance, total cost of ownership and other financial transactions related to logistics for all Army units.
“We have changed the way we manage our supply chain,” he continued. “We’re giving units repair parts that we have concluded will be the parts most needed in austere and high op-tempo environments.
“The goal is to have these parts mobile so our units can move in one lift. We are already finding it is saving money. We are filling more of what is demanded. And we are repairing weapons systems faster. All of this has already improved readiness in our formations,” he concluded.
Retired Lt. Col. Jennifer Chronis, general manager, DoD Amazon Web Services, added that soldiers are already harnessing the power of big data through cloud services, utilizing computing storage and power right to the forward edge of the battlefield.
The cloud offers secure data transfer and storage, she said. It is being used by Army cyber protection teams and others to analyze data 500 times faster than before, she said, adding that their analysis has resulted in identifying 60 malicious activities recently.