“What to Expect When You’re Expecting Robots”
Book co-authored by Associate Professor Julie Shah and Laura Major SM ’05 explores a future populated with robot helpers.
Book co-authored by Associate Professor Julie Shah and Laura Major SM ’05 explores a future populated with robot helpers.
Working remotely this summer, students worked to better understand human intelligence and to advance machine learning applications.
Work of the Future research brief looks at changes in two supply-chain industries in the wake of the pandemic.
MIT Task Force on the Work of the Future examines job changes in the AV transition and how training can help workers move into careers that support mobility systems.
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.
DriveSeg contains precise, pixel-level representations of many common road objects, but through the lens of a continuous video driving scene.
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
Technological innovations, policies, and behavioral changes will all be needed to reach Paris climate agreement targets.
System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
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.