Racing into the future of autonomous driving
After a third-place finish at last year's Formula Student Germany, MIT Driverless team aims to compete in the $1.5 million Indy Autonomous Challenge.
MIT and Toyota release innovative dataset to accelerate autonomous driving research
DriveSeg contains precise, pixel-level representations of many common road objects, but through the lens of a continuous video driving scene.
To self-drive in the snow, look under the road
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
MIT Energy Initiative report charts pathways for sustainable personal transportation
Technological innovations, policies, and behavioral changes will all be needed to reach Paris climate agreement targets.
Predicting people's driving personalities
System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?
Autonomous system improves environmental sampling at sea
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
Better autonomous “reasoning” at tricky intersections
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
Technique helps robots find the front door
Navigation method may speed up autonomous last-mile delivery.
From 3D-printed limbs to semi-autonomous race cars
Envisioning the future (and challenges) of designing affordable technology-enabled mobility devices.
Bryan Reimer receives human factors innovator award
MIT AgeLab research engineer directs a team that studies in-vehicle automation, robotics, AI, and the mechanics of driver attention, among other topics.
Helping autonomous vehicles see around corners
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
System prevents speedy drones from crashing in unfamiliar areas
Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.
Deep learning with point clouds
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
An interdisciplinary approach to accelerating human-machine collaboration
Professor’s startup brings millimeter-scale location tracking to factories, ports, and other industrial environments.
MIT’s fleet of autonomous boats can now shapeshift
New capabilities allow “roboats” to change configurations to form pop-up bridges, stages, and other structures.