Russell Tedrake

A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.

Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.

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

With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.

It’s nearing the end of 2021, and we want to celebrate the accomplishments and contributions of our incredible EECS community by sharing some of the awards given by...