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.
3 Questions: Honing robot perception and mapping
Luca Carlone and Jonathan How of MIT LIDS discuss how future robots might perceive and interact with their environment.
A step toward safe and reliable autopilots for flying
A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.
Driven to driverless
Cindy Alejandra Heredia’s journey from Laredo, Texas, took her to leading the MIT autonomous vehicle team and to an MBA from MIT Sloan.
Probabilistic AI that knows how well it’s working
It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.
Exploring new methods for increasing safety and reliability of autonomous vehicles
A new study finds human supervisors have the potential to reduce barriers to deploying autonomous vehicles.
Using reflections to see the world from new points of view
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.
Drones navigate unseen environments with liquid neural networks
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.