Defense Advanced Research Projects AgencyTagged Content List

Supervised Autonomy

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

Showing 21 results for Autonomy + Math RSS
June 15, 2017,
Arlington, Virginia
DARPA’s Defense Sciences Office (DSO), which identifies and pursues high-risk, high-payoff research initiatives across a broad spectrum of science and engineering disciplines, will host Discover DSO Day (D3) on June 15, in Arlington, Virginia. The event is designed to familiarize potential proposers with the mission, research areas of interest, and business processes pursued by the DSO, a fundamental research office with a history of not only reshaping existing technical fields but also creating entirely new disciplines—and of transforming bold, paradigm-challenging initiatives into game-changing technologies for U.S. national security.
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.
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.