Wearing a sensor-packed glove while handling a variety of objects, MIT CSAIL researchers have compiled a massive dataset that enables an AI system to recognize objects through touch alone. The information could be leveraged to help robots identify and manipulate objects, and may aid in prosthetics design.
A team of roboticists at MIT CSAIL and Harvard has developed a new way to design pistons that replaces their conventional rigid elements with a mechanism using compressible structures inside a membrane made of soft materials.
With aims of bringing more human-like reasoning to autonomous vehicles, a team led by researchers at MIT CSAIL have created a system that uses only simple maps and visual data to enable driverless cars to navigate routes in new, complex environments.
Technology as a vector for positive change | Technology for a better world
CSAIL recently established the TEDxMIT series. The TEDxMIT events will feature talks about important and impactful ideas by members of the broader MIT community.
This event is organized by Daniela Rus and John Werner, in collaboration with a team of undergraduate students led by Stephanie Fu and Rucha Keklar.
MIT CSAIL unsealed a special time capsule from 1999 after a self-taught programmer Belgium solved a puzzle devised by MIT professor and famed cryptographer Ron Rivest.
In the advent of artificial intelligence, robots, and automation, today’s K-12 educators around the world are asking the question: “What skills do our students need to be ready for the future?”
The “Freshman Technology Experience” — a recent two-day event at Cambridge Rindge and Latin School (CRLS) in Cambridge, Massachusetts — brought MIT researchers into the classroom to explore just that
A new learning system developed by MIT researchers improves robots’ abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based particle simulator, could give industrial robots a more refined touch — and it may have fun applications in personal robotics, such as modelling clay shapes or rolling sticky rice for sushi.
A team led by researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a robotic system that can detect if an object is paper, metal, or plastic.
