Daniela Rus

Researchers use control theory to shed unnecessary complexity from AI models during training, cutting compute costs without sacrificing performance.

MIT CSAIL and LIDS researchers developed a mathematically grounded system that lets soft robots deform, adapt, and interact with people and objects, without violating safety limits.

This ongoing listing of awards and recognitions won by our faculty is added to all year, beginning in September.

Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.

An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.