Helping robots zero in on the objects that matter
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
Drone company founders with MIT Advanced Study Program roots seek to bring aerial delivery to the mainstream.
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.
Audrey Chen ’24 landed an internship at NASA before she was old enough to drive. Here’s her secret to success.
When the senior isn’t using mathematical and computational methods to boost driverless vehicles and fairer voting, she performs with MIT’s many dance groups to keep her on track.
Fourteen Edgerton Center student-led engineering teams displayed their latest creations, from solar cars to rockets to assistive eating devices.
By enabling models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior.
Autonomous helicopters made by Rotor Technologies, a startup led by MIT alumni, take the human out of risky commercial missions.
Research scientist will help ensure that transportation’s future is safe, efficient, sustainable, equitable, and transformative.
The team’s new algorithm finds failures and fixes in all sorts of autonomous systems, from drone teams to power grids.
Working with mentors and military operators, cadets are addressing challenges in such areas as autonomy, data analytics, communications, and blood delivery.
The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.
Jonathan How and his team at the Aerospace Controls Laboratory develop planning algorithms that allow autonomous vehicles to navigate dynamic environments without colliding.
With this new approach, a tailsitter aircraft, ideal for search-and-rescue missions, can plan and execute complex, high-speed acrobatic maneuvers.