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
DARPA will host a competitors day September 27, 2018, to communicate the vision and timeline of the DARPA Subterranean (SubT) Challenge, engage potential competitors, and provide a space for technical and operational exchange.
The world beneath us leaves much to be discovered. These uncharted environments pose immense challenges to military and emergency personnel as they respond to threats from adversaries or natural disasters. DARPA has selected nine teams to compete in the Subterranean (SubT) Challenge – seven in the physical Systems track and two in the Virtual track – to develop new approaches to rapidly map, navigate, and search underground environments.
DARPA’s OFFensive Swarm-Enabled Tactics (OFFSET) envisions swarms of 250 collaborative autonomous systems providing critical insights to small ground military units in urban areas where vertical structures, tight spaces, and limited sight lines constrain communications and mobility. DARPA is soliciting proposals for its third swarm sprint, which will focus on the topics of human-swarm teaming and swarm tactics.
In early April, nine qualified teams will attempt to remotely navigate the dark and dirty corridors of Edgar Experimental Mine in Idaho Springs, Colorado, in preparation for the Circuits Stage of the DARPA Subterranean (SubT) Challenge later this year. The SubT Integration Exercise, known as STIX, offers teams an opportunity to try out their technologies, including robotics, sensors, and communications solutions, in a representative environment. The locations for the Circuits Stage events have not been announced.
Current AI systems excel at tasks defined by rigid rules – such as mastering the board games Go and chess with proficiency surpassing world-class human players. However, AI systems aren’t very good at adapting to constantly changing conditions commonly faced by troops in the real world – from reacting to an adversary’s surprise actions, to fluctuating weather, to operating in unfamiliar terrain. For AI systems to effectively partner with humans across a spectrum of military applications, intelligent machines need to graduate from closed-world problem solving within confined boundaries to open-world challenges characterized by fluid and novel situations.