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

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 ...

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

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

The work is exhausting, repetitive, and injury-prone. Now, robots are stepping in. The Pickle Robot Company’s AI-powered, one ...

In a significant move that promises to reshape the landscape of industrial automation, the Massimo Group has announced the launch ...

When we think about machine learning, our minds often jump to datacenters full of sweating, overheating GPUs. However, lighter-weight hardware can also be used to these ends, as demonstrated by ...

A PickNik space robot concept called Tridex. PickNik Robotics, a leader in robotics software and engineering services, today announced that it has won a SpaceWERX contract to work on robotics for the ...

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 ...