Using a new robotic platform, researchers can simultaneously track hundreds of microbial populations as they evolve new proteins or other molecules.

A new machine-learning model could enable robots to understand interactions in the world in the way humans do.

A new system can reorient over 2,000 different objects, with the robotic hand facing both upwards and downwards.

A new machine-learning system helps robots understand and perform certain social interactions.

A new control system, demonstrated using MIT’s robotic mini cheetah, enables four-legged robots to jump across uneven terrain in real-time.

PhD student Martin Nisser wants to democratize hardware by making it easier to build and customize.

A human-aware motion planning algorithm addresses the safety gap in collaboration between robots and humans.

CSAIL created a new method to computationally optimize the shape and control of a robotic manipulator for a specific task.

CSAIL's Daniela Rus, Dina Katabi, and Barbara Liskov top the Forbes list of the world's most influential women in STEM.