Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.

Researchers discover how to control the anomalous Hall effect and Berry curvature to create flexible quantum magnets for use in computers, robotics, and sensors.

New soft-bodied robots that can be controlled by a simple magnetic field are well suited to work in confined spaces.

SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments.

Inspired by jellyfish and octopuses, PhD candidate Juncal Arbelaiz investigates the theoretical underpinnings that will enable systems to more efficiently adapt to their environments.

MIT engineers Edward Adelson and Sandra Liu duo develop a robotic gripper with rich sensory capabilities.

“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.

Robotic arm equipped with a hairbrush helps with brushing tasks and could be an asset in assistive-care settings.

Flexible sensors and an artificial intelligence model tell deformable robots how their bodies are positioned in a 3D environment.

Optimizing soft robots to perform specific tasks is a huge computational problem, but a new model can help.