MIT engineers are on a failure-finding mission
The team’s new algorithm finds failures and fixes in all sorts of autonomous systems, from drone teams to power grids.
The team’s new algorithm finds failures and fixes in all sorts of autonomous systems, from drone teams to power grids.
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
Lincoln Laboratory is developing a roadmap to streamline system acquisitions and facilitate connectivity across the Southwestern test ranges.
With this new approach, a tailsitter aircraft, ideal for search-and-rescue missions, can plan and execute complex, high-speed acrobatic maneuvers.
Technology demonstrations show the machine’s major components achieve the required performance.
With a grant from the Office of Naval Research, MIT researchers aim to design novel high-performance steels, with potential applications including printed aircraft components and ship hulls.
With 75 years of aviation industry-focused research and education under its belt, the lab continues to develop propulsion systems for next-generation aircraft.
Award recognizes Shin’s contributions at Lincoln Laboratory to air vehicle survivability and STEM education in support of national defense.
A technique for synthesizing many “white graphene” nanotubes at a time paves the way for stronger, heat-resistant composites, and membranes for renewable energy.
For Leon Villegas SM ’08, MBA ’08, a journey of lifelong learning brought him from Mexico to building autonomous air taxis, with a key stop at MIT.
In collaboration with industry representatives, Momentum students tackle wildfire suppression and search-and-rescue missions while building soft skills.
The computer-vision technique behind these maps could help avoid contrail production, reducing aviation’s climate impact.
New algorithm could enable fast, nimble drones for time-critical operations such as search and rescue.
An optimization tool from the Department of Air Force–MIT AI Accelerator is transforming the laborious process of staffing C-17 cargo flights.
Proposed design could reduce nitrogen oxide emissions by 95 percent, a new study finds.