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 ...

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 ...

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 ...

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 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 ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research. In their ...

The robotics industry is experiencing an unprecedented transformation driven by advancements in artificial intelligence, automation, and machine learning. Robotics technology is no longer a futuristic ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Robotics has made jaw-dropping progress in perception, navigation, and even conversational interfaces. Yet one part of the human body continues ...

The latest public outing for a Chinese humanoid robot ended with a thud, as the machine toppled forward on stage in front of ...