System trains drones to fly around obstacles at high speeds
New algorithm could enable fast, nimble drones for time-critical operations such as search and rescue.
New algorithm could enable fast, nimble drones for time-critical operations such as search and rescue.
Associate professor of aeronautics and astronautics will head MIT’s longest continuously-running lab.
Alumni of the MIT New Engineering Education Transformation Program (NEET) worked together remotely from across the globe to design thinking machines.
After meeting in an Advanced Study Program at MIT, three Norwegian students began working together to transport biological samples using autonomous vehicles.
Model could help predictive virtual models become standard practice in engineering.
Algorithm enables robot teams to complete missions, such as mapping or search-and-rescue, with minimal wasted effort.
The technology could boost aerial robots’ repertoire, allowing them to operate in cramped spaces and withstand collisions.
Political scientist Erik Lin-Greenberg explores how a burgeoning high-tech arsenal is shaping military conflict.
Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.
PhD student Norhan Bayomi uses drones to investigate how building construction impacts communities’ resilience to rising temperatures.
System uses RFID tags to home in on targets; could benefit robotic manufacturing, collaborative drones, and other applications.
MIT spinoff Raptor Maps uses machine-learning software to improve the maintenance of solar panels.
The silent, lightweight aircraft doesn’t depend on fossil fuels.
System allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable.
Felipe Varon uses knowledge gained from MIT Professional Education to improve his invention; hopes cars might service areas with low access to food and supplies.