Defense Advanced Research Projects AgencyTagged Content List

Video Games

Digital simulations for training and other purposes

Showing 12 results for Games + Interface RSS
12/07/2016
Urban canyons—with their high vertical structures, tight spaces, and limited lines of sight—constrain military communications, mobility, and tactics in the best of times. These challenges become even more daunting when U.S. forces are in areas they do not control—where they can’t rely on supply chains, infrastructure, and previous knowledge of local conditions and potential threats.
10/12/2017
DARPA’s OFFensive Swarm-Enabled Tactics (OFFSET) program envisions future small-unit infantry forces using small unmanned aircraft systems (UASs) and/or small unmanned ground systems (UGSs) in swarms of 250 robots or more to accomplish diverse missions in complex urban environments. By leveraging and combining emerging technologies in swarm autonomy and human-swarm teaming, the program seeks to enable rapid development and deployment of breakthrough capabilities to the field.
03/30/2018
DARPA’s OFFensive Swarm-Enabled Tactics (OFFSET) program envisions future small-unit infantry forces using small unmanned aircraft systems (UASs) and/or small unmanned ground systems (UGSs) in swarms of 250 robots or more to accomplish diverse missions in complex urban environments. By leveraging and combining emerging technologies in swarm autonomy and human-swarm teaming, the program seeks to enable rapid development and deployment of breakthrough swarm capabilities.
10/12/2018
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.
02/14/2019
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.