DARPA laying groundwork for growth in-space robotics
Sandra Erwin for Space News: DARPA pioneered the concept of using robots for in-space repairs and more recently invested millions of dollars in a public-private partnership with Space Systems Loral to build an autonomous vehicle for servicing satellites 36,000 kilometers above Earth.
Please and Thank You: How DARPA Is Teaching Robots Manners
Kacey Deamer for Live Science: Researchers created a machine-learning algorithm that allowed robots to "intuit" how to behave like humans in certain situations, like being quiet in a library.
DARPA taps Boeing for unmanned reusable spaceplane
Ross Wilkers for Washington Technology: Boeing has emerged as the winner of a DARPAcompetition to design and test an unmanned reusable spaceplane.
Designing Agile Human-Machine Teams
DARPA seeks mathematical methods to enable a general-purpose design tool for optimizing human-machine teams in a diverse range of national security contexts
SSL to provide robotic arms to DARPA for satellite servicing
DARPA Goes "Meta" with Machine Learning for Machine Learning
Data-Driven Discovery of Models (D3M) seeks to increase pace of scientific discovery and improve military planning, logistics and intelligence outcomes
CODE Takes Next Steps toward More Sophisticated, Resilient, and Collaborative Unmanned Air Systems
Eight companies participating in Phase 2 research that aims to leverage promising open software architectures and intuitive user interfaces
DARPA Demo Day 2016 Aims to Speed Transition of Game-Changing Technologies to Military Services
Pentagon event showcases more than 60 DARPA research programs-and the teamwork with the science & technology communities that make those programs possible
DARPA Exhibit to Open at Chicago's Museum of Science and Industry
"DARPA: Redefining Possible" to showcase past technological breakthroughs, current projects and future possibilities
Novel miniaturized circulator opens way to doubling wireless capacity
Researchers develop a microelectronic substitute for larger-scale magnetic components and open a pathway to more efficient communications and more capable radar systems
NRL Engineers to Lead Payload Development for Robotic Servicing of Geosynchronous Satellites
The Front-end Robotics Enabling Near-term Demonstration, or FREND, flight prototype robotic arm performs fully autonomous grapple testing. This testing demonstrates RSGS on-board processing's ability to track and guide a robotic arm to grapple a launch vehicle adapter ring (left) that is common to many spacecraft designs.
Gremlins Takes Flight to Provide Air-Recoverable Unmanned Air Systems
Four teams initiate research into affordable, distributed technologies that could provide breakthrough tactical and strategic capabilities
Program Aims to Facilitate Robotic Servicing of Geosynchronous Satellites
Servicing vehicle jointly developed with a commercial partner would leverage DARPAs successes in space robotics and accelerate revolutionary capabilities for working with satellites currently beyond reach
Share Your Audacious Ideas to Improve Military Systems at the 2016 TTO Proposers Day
Two-day event encourages proposals for system-level technologies and prototypes that could redefine the state of the art for capabilities, development time and cost
Mining Everyday Technologies to Anticipate Possibilities
DARPAs "Improv" effort asks the innovation community to identify commercial products and processes that could yield unanticipated threats
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Pleora Technologies - Simplified AI for Visual Inspection of Electronics
Pleora's Visual Inspection System helps operators detect errors and defects for unique component types, assembly steps, and custom low-run products where automated optical inspection (AOI) is too complex and expensive. The system helps DICA Electronics: Avoid costly, errors as a result of detecting errors at different phases in production, Speed time in detecting the root cause of the in-field errors with Tracking & Reporting apps for traceability, Maintain consistency in training new employees on requirements or with staff any time a new product is added, Easily train the system using 'good product' images for multiple product lines with no programming skills required, Reduce subjective decision-making, especially over a long shift, reducing error-escapes.