智邦网
2020-10-30 智邦网
编译 致远
据英国简氏防务网10月26日报道
美陆军将应用DARPA“分布式作战管理”（DBM）项目成果，满足不断增加的战场组网传感器和射击武器需求。
通过人工智能和机器学习赋能DBM系统，最初面向空中作战域研发，并用于陆军牵头的“项目融合”计划。
项目由BAE系统公司FASTLab研究发展部与DARPA合作开发，于今年9月结束。
最新的“项目融合”演习组织了34项技术演示验证，包括“远程精确火力”“新一代战车”等军种优先计划技术，以及陆军最新“一体化战术网络”技术。
DARPA battle management programme may play into US Army requirements
The US Defense Advanced Research Projects Agency’s (DARPA) advanced Distributed Battle Management (DBM) programme could play a vital role in the US Army’s efforts to increasingly network its arsenal of sensors and shooters on the battlefield.
The advanced autonomous capabilities within the DBM, enabled by artificial intelligence and machine learning applications, that were initially designed for use in the air domain could transition smoothly into army-led efforts under the service’s Project Convergence initiative.
“Many of these fundamental technologies bleed into each other, whether it is game theory or control theory or some of these advanced tracking methodologies, and . . . those fundamental ideas of manned and unmanned teaming and helping sets or networks of weapon systems work well together, [so that] you get into how does autonomy help you do that,” said Chris Eisenbies, director of the Autonomy, Control, and Estimation product line at BAE Systems.
Programme engineers from the company’s FASTLabs research and development directorate collaborated with DARPA on the DBM programme, which was completed in September.
The comments from Eisenbies come after army leaders in September concluded the initial capstone exercise for Project Convergence, which showcased 34 technologies including service programme priorities such as Long-Range Precision Fires and Next-Generation Combat Vehicle (NGCV) technologies, as well as the latest iteration of the army’s Integrated Tactical Network (ITN) dubbed Capability Set 21.
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