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.
Blockchain technology could provide secure communications for robot teams
The transaction-based communications system ensures robot teams achieve their goal even if some robots are hacked.
Making self-driving cars safer through keener robot perception
PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.
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.