Technique helps robots find the front door
Navigation method may speed up autonomous last-mile delivery.
Navigation method may speed up autonomous last-mile delivery.
Envisioning the future (and challenges) of designing affordable technology-enabled mobility devices.
MIT AgeLab research engineer directs a team that studies in-vehicle automation, robotics, AI, and the mechanics of driver attention, among other topics.
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
Professor’s startup brings millimeter-scale location tracking to factories, ports, and other industrial environments.
New capabilities allow “roboats” to change configurations to form pop-up bridges, stages, and other structures.
Teams were scored on speed, construction, performance, and financial planning at one of the world’s largest student engineering competitions.
MIT startup’s unique approach to improving human mobility is helping it gain traction in a competitive landscape.
In “semiautonomous” cars, older drivers may need more time to take the wheel when responding to the unexpected.
Professor Adam Chlipala builds tools to help programmers more quickly generate optimized, secure code.
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
At the annual MIT Ship Design and Technology Symposium, naval construction and engineering students presented their work on real-life naval design projects.
New approach quickly finds hidden objects in dense point clouds, for use in driverless cars or work spaces with robotic assistants.