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.

The potential applications of AI, spanning civilian and military uses, are diverse, and include advances in areas like restorative and regenerative medical care, cyber resiliency, natural language processing, computer vision, and autonomous robotics.