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 ...

Hang Yin’s high school experience opened his eyes to the future of robotics that he now is helping to mold. Hang Yin (MSR ‘23) was in high school when he founded a robotics team to participate in the ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization studio built for multimodal time-series with full provenance you can replay “dFL ...

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

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

Formless 'slime' robots that shape-change to complete complex tasks – it sounds like science fantasy. However, MIT researchers have developed a machine-learning technique that brings shape-changing ...

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 ...

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

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 ...

When I see self-driving cars, space-based internet coverage anywhere in the world, a push for Mars, robotics and aggressive ...