Robots dress humans without the full picture
MIT researchers design a robot that has a trick or two up its sleeve.
MIT researchers design a robot that has a trick or two up its sleeve.
A new technique could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.
Associate professor and principal investigator with the MIT Schwarzman College of Computing’s Science Hub discusses the future of robotics and the importance of industry-academia collaborations.
CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.
A new approach enables architects to use discarded tree forks as load-bearing joints in their structures.
Theories from cognitive science and psychology could help humans learn to collaborate with robots faster and more effectively, scientists find.
Experiments aboard International Space Station demonstrate a potential solution for cleaning up orbital debris and repairing damaged satellites.
Overseeing business and research units across MIT Open Learning, Breazeal will focus on the future of digital technologies and their applications in education.
The more social behaviors a voice-user interface exhibits, the more likely people are to trust it, engage with it, and consider it to be competent.
Assistant professor of civil engineering describes her career in robotics as well as challenges and promises of human-robot interactions.
A new fabrication technique produces low-voltage, power-dense artificial muscles that improve the performance of flying microrobots.
Benjamin Katz '16, SM '18 is applying the skills he gained working on MIT's mini cheetah robot to the ATLAS project at Boston Dynamics.
Working directly with oyster farmers, MIT students are developing a robot that can flip heavy, floating bags of oysters, helping the shellfish to grow and stay healthy.
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
A new AI-powered, virtual platform uses real-world physics to simulate a rich and interactive audio-visual environment, enabling human and robotic learning, training, and experimental studies.