Multi-domain Autonomous Systems Focus Area
Abstract
This portfolio will focus on cost-effective, mission-focused projects to design, develop, and deliver technology prototypes of cutting edge multi-domain, autonomous systems to meet the Department’s goal to drive innovation in aviation, space, maritime and ground combat systems. Autonomous systems range from software to aid the intelligence analyst in processing, exploitation and dissemination, through very complex autonomous air systems networked in tandem with unmanned ground or undersea vehicles. The technologies associated with autonomy are multiplying: from sensors that can understand the environment, to software algorithms that can make a decision or seek human assistance. Through autonomy, the Department of Defense (DoD) will reduce the manpower required to safely conduct missions. Multi-domain, autonomous systems developed and demonstrated through this focus area will seek to enhance the capabilities of unmanned systems to enable missions across air, sea, land and space environments and advance the state-of-the-art in cooperative behaviors among autonomous systems, such as unmanned Aerial systems, unmanned ground combat vehicles, unmanned underwater vehicles and unmanned surface vehicles. These prototypes will be delivered to joint and Service users to evaluate operational capabilities under realistic conditions and against current adversaries or anticipated threats. Potential venues for prototype assessment include the Stiletto maritime demonstration program, Thunderstorm integration exercises and the Joint Experimental Range Complex (JERC). Knowledge and experience gained through those demonstrations will help develop new warfighting concepts and inform requirements and technical feasibility of future acquisition programs. Development of advanced autonomous systems prototypes will involve partnerships with industry and academia and permit operational users to gain insight into future technology-enabled strategies and tactics.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2017
- Source ID
- 3066a4f7e7780a094cdaeaa5b724bbb0