Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

Standing amid hundreds of people in the rotunda of Chicago's iconic Museum of Science and Industry, Ritika Ghosh (MSR '23) felt her confidence building. Ghosh was teaching people of all ages about a ...

Ava Zahedi looks back on how she used machine learning in MSR and how those experiences prepared her for her current work as a robotics and automation software engineer at Kasalis. Recent advances in ...

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...

Humanoid robots struggle with new tasks. A new approach could help them handle objects reliably in homes, factories, and ...

A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to train ...

For most people, when we hear the words “Artificial Intelligence” (AI) and “Machine Learning” (ML) we immediately think of a dystopian, futuristic scenario. Where once bionic robots represent ideas ...