Flying high to enable sustainable delivery, remote care
Drone company founders with MIT Advanced Study Program roots seek to bring aerial delivery to the mainstream.
Creating and verifying stable AI-controlled systems in a rigorous and flexible way
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
Researchers leverage shadows to model 3D scenes, including objects blocked from view
This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.
From NASA to MIT to Formlabs
Audrey Chen ’24 landed an internship at NASA before she was old enough to drive. Here’s her secret to success.
Janabel Xia: Algorithms, dance rhythms, and the drive to succeed
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.
The MIT Edgerton Center’s third annual showcase dazzles onlookers
Fourteen Edgerton Center student-led engineering teams displayed their latest creations, from solar cars to rockets to assistive eating devices.
Researchers enhance peripheral vision in AI models
By enabling models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior.
Safer skies with self-flying helicopters
Autonomous helicopters made by Rotor Technologies, a startup led by MIT alumni, take the human out of risky commercial missions.
AgeLab’s Bryan Reimer named to US Department of Transportation innovation committee
Research scientist will help ensure that transportation’s future is safe, efficient, sustainable, equitable, and transformative.
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.
Military students innovate technology solutions for US Special Operations Command
Working with mentors and military operators, cadets are addressing challenges in such areas as autonomy, data analytics, communications, and blood delivery.
AI model speeds up high-resolution computer vision
The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.
Autonomous innovations in an uncertain world
Jonathan How and his team at the Aerospace Controls Laboratory develop planning algorithms that allow autonomous vehicles to navigate dynamic environments without colliding.
Planning algorithm enables high-performance flight
With this new approach, a tailsitter aircraft, ideal for search-and-rescue missions, can plan and execute complex, high-speed acrobatic maneuvers.
A simpler method for learning to control a robot
Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.