Retour aux nouvelles

3 novembre 2020 | International, Naval

DARPA Awards Contracts for Autonomous ‘Sea Train’

11/2/2020
By Connie Lee

The Defense Advanced Research Projects Agency has awarded contracts for its Sea Train program, which seeks to enable autonomous vessels to perform long-range transit operations.

In September, Applied Physical Sciences Corp., Gibbs & Cox Maritime Solutions and Mar Technologies were chosen for the program, which will include two 18-month phases.

The contract awards' total potential values were $31.2 million, $30.4 million and $28.5 million, respectively. Through the effort, DARPA wants “to provide some operational flexibility for medium-sized unmanned surface vessels,” said Andrew Nuss, a program manager within the agency's tactical technology office. Each company is “developing a unique approach to be able to address the goals of the Sea Train program.”

Unmanned surface vessels are generally limited in operational range, typically 3,500 to 4,000 nautical miles, he said in an interview. However, DARPA hopes to extend that to about 14,000 nautical miles under the Sea Train program.

Usually unmanned surface vessels must undergo multiple refuelings to go farther distances, he noted.

“It's sort of a vicious cycle at that point, where you're constantly chasing efficiencies and whatnot,” he said. However, a Sea Train platform — which is expected to be 40 meters long and carry a 35-ton payload — could give an operational commander “the flexibility to deploy these highly capable medium-sized unmanned surface vessels from many different locations without having to rely on ... refueling operations.”

DARPA plans to extend the range of USVs more efficiently by creating a “train” in which four autonomous vessels are physically connected until they reach their destination.

The platforms would then detach, conduct their individual operations and then reconnect before returning to their starting point, Nuss said. Unmanned boats must overcome resistance and friction from waves as they move, but attaching the platforms may help increase their efficiency and allow them to travel longer distances, he said.

“By physically connecting multiple vessels together, and extending the length of that interconnected system, we could move — in our case — four vessels with ... approximately the same efficiency of a single vessel,” Nuss said.

The medium-sized platforms were picked for proof of concept, but the idea could be applied to smaller vessels or manned systems as well, he noted.

https://www.nationaldefensemagazine.org/articles/2020/11/2/darpa-awards-contracts-for-autonomous-sea-train

Sur le même sujet

  • This platform will help train AI algorithms for the military

    21 mai 2020 | International, C4ISR

    This platform will help train AI algorithms for the military

    Nathan Strout After landing a contract with the U.S. Air Force in April, California-based company Labelbox announced May 20 it is making its artificial intelligence training data platform available more widely to the federal government and intelligence community. Labelbox offers a software platform by the same name that allows development teams to manage the data used to train machine learning algorithms. For instance, in order for a machine learning tool to successfully begin identifying missile launchers in satellite imagery, it needs to be fed hundreds — or even millions — of pre-labeled pictures identifying the objects it needs to identify. The more accurate training data is fed to the algorithm, the better it works. Some government machine learning projects need to process petabytes of data per day, the company says, a flow of data that can be overwhelming. “Labelbox is an integrated solution for data science teams to not only create the training data but also to manage it in one place,” said CEO Manu Sharma in a statement. “It's the foundational infrastructure for customers to build their machine learning pipeline.” The platform can be used in the cloud or on-premises, allowing data science teams to work together across agencies or locations, the company claims. In April, the company announced it had won an Air Force Innovation Hub Network (AFWERX) Phase 1 Small Business Innovation Research contract to conduct feasibility studies on how their platform could integrate with ongoing Air Force efforts. Now, the company is partnering with Carahsoft Technology Corp. to make their platform more widely available to the federal government and the intelligence community. Carahsoft will be able to provide the platform to interested agencies through its NASA Solutions for enterprise-wide procurement contracts and reseller partners, the company announced May 20. https://www.c4isrnet.com/artificial-intelligence/2020/05/20/this-platform-will-help-train-ai-algorithms-for-the-military/

  • Pentagon And Lockheed Martin Finalize Lot 15-17 Agreement, Capping A Year Of International Growth

    4 janvier 2023 | International, Aérospatial

    Pentagon And Lockheed Martin Finalize Lot 15-17 Agreement, Capping A Year Of International Growth

    The agreement includes 145 aircraft for Lot 15, 127 for Lot 16, and up to 126 for the Lot 17 contract option, including the first F-35 aircraft for Belgium, Finland...

  • DoD IG: Military networks are exposed to ‘unnecessary’ cyber risks

    19 décembre 2018 | International, C4ISR

    DoD IG: Military networks are exposed to ‘unnecessary’ cyber risks

    By: Mark Pomerleau The military services are exposing networks to “unnecessary cybersecurity risks” thanks in part to a lack of visibility over software application inventories, according to a Department of Defense Inspector General report. The IG investigated whether DoD components rationalized their software applications by identifying and eliminating any duplicative or obsolete applications. Rationalizing software applications seeks to improve enterprise IT by identifying all software applications on the network; determining if existing applications are needed, duplicative or obsolete; and determining if applications already existing within the network prior to purchasing new ones. The audit — which focused on Marine Corps, Navy and Air Force commands and divisions — found that the groups examined did not consistently perform this rationalization process. By not having visibility into software application inventories, these organizations were unable to identify the extent of existing vulnerabilities within their applications, the report found. Moreover, such a process could lead to cost savings associated with eliminating duplicative and obsolete applications. Fleet Forces Command was the only command the IG reviewed that had a process in place for eliminating duplicative or obsolete applications. The Air Force did not have a process in place to prevent duplication when purchasing new applications. The report placed blame on the DoD chief information officer for not implementing a solution for software rationalization in response to Federal Information Technology Acquisition Reform Act requirements. The IG made three recommendations for the CIO, who did not provide a response to draft recommendations: Develop an enterprisewide process for conduction software application rationalization throughout DoD; Establish guidance requiring DoD components to conduct rationalization and require DoD component CIOs to develop implementation guidance outlining responsibilities for rationalization. Such a policy should also require components on at least an annual basis to validate the accuracy of their owned and in use software applications inventory; and Conduct periodic review to ensure components are regularly validating the accuracy of their inventory and they are eliminating duplicative and obsolete applications. https://www.fifthdomain.com/dod/2018/12/18/dod-ig-military-networks-are-exposed-to-unnecessary-cyber-risks

Toutes les nouvelles