Defense Advanced Research Projects AgencyTagged Content List

Human-Machine Interface

Relating to the interaction between humans and machines

Showing 35 results for Interface + Autonomy RSS
August 15-22, 2019,
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Eleven Systems teams from around the world will attempt to remotely map, identify, and report the greatest number of artifacts along the passages of a Pittsburgh research mine in the Subterranean Challenge Tunnel Circuit August 15-22, 2019.
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.
Humans intuitively combine pre-existing knowledge with observations and contextual clues to construct rich mental models of the world around them and use these models to evaluate goals, perform thought experiments, make predictions, and update their situational understanding. When the environment contains other people, humans use a skill called theory of mind (ToM) to infer their mental states from observed actions and context, and predict future actions from those inferred states.
The DARPA Subterranean (SubT) Challenge aims to develop innovative technologies that would augment operations underground. The SubT Challenge will explore new approaches to rapidly map, navigate, search, and exploit complex underground environments, including human-made tunnel systems, urban underground, and natural cave networks.