Charting a safe course through a highly uncertain environment
A new technique can safely guide an autonomous robot without knowledge of its environmental conditions or the size, shape, or location of obstacles it might encounter.
Living better with algorithms
Graduate student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.
On the road to cleaner, greener, and faster driving
Researchers use artificial intelligence to help autonomous vehicles avoid idling at red lights.
Anticipating others’ behavior on the road
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.
Driving a human-machine collaboration
In MIT Mobility Forum talk, experts discuss a future for vehicle automation that lets technology and drivers interact.
Design course challenges students to solve real-world problems
In collaboration with industry representatives, Momentum students tackle wildfire suppression and search-and-rescue missions while building soft skills.
Computing for ocean environments
MIT ocean and mechanical engineers are using advances in scientific computing to address the ocean’s many challenges, and seize its opportunities.
MIT engineers test an idea for a new hovering rover
A levitating vehicle might someday explore the moon, asteroids, and other airless planetary surfaces.
Q&A: Cathy Wu on developing algorithms to safely integrate robots into our world
Assistant professor of civil engineering describes her career in robotics as well as challenges and promises of human-robot interactions.
Nonsense can make sense to machine-learning models
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.
Jelena Vučković delivers 2021 Dresselhaus Lecture on inverse-designed photonics
Electrical engineer and Stanford University professor discusses how computer software can support advanced designs and new functionalities.
Design’s new frontier
Mechanical engineers are using cutting-edge computing techniques to re-imagine how the products, systems, and infrastructures we use are designed.
These neural networks know what they’re doing
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
Deep learning helps predict traffic crashes before they happen
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.