Defense Advanced Research Projects AgencyTagged Content List

Supervised Autonomy

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

Showing 104 results for Autonomy RSS
The international robotics community has turned out in force for the DARPA Robotics Challenge (DRC) Finals, a competition of robots and their human supervisors to be held June 5-6, 2015, at Fairplex in Pomona, Calif., outside of Los Angeles. In the competition, human-robot teams will be tested on capabilities that could enable them to provide assistance in future natural and man-made disasters. Fourteen new teams from Germany, Hong Kong, Italy, Japan, the People’s Republic of China, South Korea, and the United States qualified to join 11 previously announced teams. In total, 25 teams will now vie for a chance to win one of three cash prizes totaling $3.5 million at the DRC Finals.
In the latest step in a decades-long process through which automation has taken on increasing responsibilities in the cockpit—allowing pilots to focus on flight tasks demanding their unique capabilities—DARPA has awarded three contracts for its Aircrew Labor In-Cockpit Automation System (ALIAS) program. ALIAS envisions a tailorable, drop-in, removable kit that would enable high levels of automation in existing aircraft and facilitate reduced need for onboard crew. The program intends to leverage the considerable advances that have been made in aircraft automation systems over the past 50 years, as well as the advances that have been made in remotely piloted aircraft technologies, to help shift and refocus pilot workloads, augment mission performance and improve aircraft safety.
DARPA’s Anti-Submarine Warfare (ASW) Continuous Trail Unmanned Vessel (ACTUV) program seeks to develop a new type of unmanned surface vessel that could independently track adversaries’ ultra-quiet diesel-electric submarines over thousands of miles. One of the challenges that the ACTUV program is addressing is development of autonomous behaviors for complying with the International Regulations for Preventing Collisions at Sea, known as COLREGS. Substantial progress has been made in developing and implementing those behaviors.
Robots can learn to recognize objects and patterns fairly well, but to interpret and be able to act on visual input is much more difficult.  Researchers at the University of Maryland, funded by DARPA’s Mathematics of Sensing, Exploitation and Execution (MSEE) program, recently developed a system that enabled robots to process visual data from a series of “how to” cooking videos on YouTube. Based on what was shown on a video, robots were able to recognize, grab and manipulate the correct kitchen utensil or object and perform the demonstrated task with high accuracy—without additional human input or programming.  
Five short videos prepared by U.S. high school students have been selected as winning entries in DARPA’s Robots4Us video contest and will be featured at a June 7 invitational workshop on the future of robotics. DARPA launched the contest to stimulate student consideration of the potential societal implications of robotics.