UC Berkeley Robotics

Trained all in simulation, this robot has learned to reliably grasp a wide range of real objects! (By the Goldberg lab at UC Berkeley.)

The most dexterous robot yet learned to grasp from virtual objects A dexterous multi-fingered robot practiced using virtual objects in a simulated world, showing how machine learning and the cloud could revolutionize manual work.

How might autonomous cars deal with ambiguous situations? E.g., when two cars arrive at a stop sign at the same time? New work by Dorsa Sadigh, Sanjit Seshia, Shankar Sastry, Anca Drăgan from the Berkeley AI lab shows how autonomous cars can discover solutions to such situations!

Autonomous Cars Could Determine Your Driving Style by Gently Probing You "People might not always react positively to being probed."