Defense Advanced Research Projects AgencyTagged Content List

Supervised Autonomy

Automated capabilities with human supervision; "human in the loop"

Showing 23 results for Autonomy + Complexity RSS
June 18, 2019,
DARPA Conference Center
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is sponsoring the Discover DSO Day (D3) event to provide information to potential proposers on the objectives of an anticipated DSO Office-wide Broad Agency Announcement (BAA) expected to be released in June 2019.
June 22-23, 2016,
DARPA Conference Center
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is sponsoring a two-day Proposers Day event to provide information to potential proposers on the objectives of the DSO Office-wide Broad Agency Announcement (BAA): http://go.usa.gov/cStaQ. The event will be held at the DARPA, 675 North Randolph Street, Arlington, VA 22203 on June 22-23, 2016, from 8:30 a.m. to 5:00 p.m. Advance registration is required; attendees may attend in person or participate via webinar.
May 1, 2018,
CENTRA Technology Incorporated Conference Center
DARPA’s Tactical Technology Office is hosting a Proposers Day to provide information to potential applicants on the structure and objectives of the new Urban Reconnaissance through Supervised Autonomy (URSA) program. URSA aims to develop technology to enable autonomous systems operated and supervised by U.S. ground forces to detect hostile forces and establish positive identification of combatants before U.S. troops encounter them. The URSA program seeks to overcome the inherent complexity of the urban environment by combining new knowledge about human behaviors, autonomy algorithms, integrated sensors, multiple sensor modalities, and measurable human responses to discriminate the subtle differences between hostile individuals and noncombatants.
11/28/2016
Modern military operations are dynamic and complex—requiring, for example, that infantry squads carry out their missions simultaneously in the 3-dimensional physical world, the cyber domain, and across the electromagnetic spectrum. As artificial intelligence becomes more advanced, the future of kinetic, cyber, and electronic warfare envisions humans and intelligent machines working together as a team. A challenge in designing human-machine systems, however, is determining how best to meld human cognitive strengths and the unique capabilities of smart machines to create intelligent teams adaptive to rapidly changing circumstances.
The Agile Teams (A-Teams) program aims to discover, test, and demonstrate generalizable mathematical abstractions for the design of agile human-machine teams and to provide predictive insight into team performance.