Researchers’ algorithm designs soft robots that sense
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
Study finds patients are receptive to interacting with robots designed to evaluate symptoms in a contact-free way.
New type of control system may broaden robots’ range of tasks and allow safer interactions with people.
The technology could boost aerial robots’ repertoire, allowing them to operate in cramped spaces and withstand collisions.
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.
Inspired by personal tragedy, graduate student Hyunwoo Yuk used his background in soft materials to develop a bioadhesive tape for repairing damaged tissue.
Reconnecting muscle pairs during amputation gives patients more sensory feedback from the limb.
The patch, which can be folded around surgical tools, may someday be used in robotic surgery to repair tissues and organs.
At Open Learning Talks, Cynthia Breazeal and Eric Klopfer discuss artificial intelligence education.
A new system devises hardware architectures to hasten robots’ response time.
MassBridge will create curriculum for the advanced manufacturing needs of today’s economy.
MIT researchers’ new system optimizes the shape of robots for traversing various terrain types.
Anthropologist touches on the history of tech-related job displacement and explores how other countries approach policies on robots, skills, and learning.
MIT task force wraps up with a final conference, sounds note of optimism that new ideas, better policies can help sustain good careers.