Pulkit Agrawal

"DribbleBot" can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.

CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.

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...

Model-free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation.

The Institute for Artificial Intelligence and Fundamental Interactions will address the intersection of artificial intelligence (AI) and physics fundamental interactions The U.S. National Science Foundation (NSF) announced today...