"This work is essentially making science fiction reality—allowing people to burn less energy while conducting a variety of tasks."

The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.

New research brings robot experts together with people with disabilities to come up with new ideas for robots roaming sidewalks.

MIT CSAIL’s frugal deep-learning model infers the hidden physical properties of objects, then adapts to find the most stable grasps for robots in unstructured environments like homes and fulfillment centers.

With generative AI models, researchers combined robotics data from different sources to help robots learn better.

A new study suggests optogenetics can drive muscle contraction with greater control and less fatigue than electrical stimulation.

MIT CSAIL researchers enhance robotic precision with sophisticated tactile sensors in the palm and agile fingers, setting the stage for improvements in human-robot interaction and prosthetic technology.

Using more robots to close labor gaps in the hospitality industry may backfire and cause more human workers to quit, researchers report.