Industrial AI has a data problem. Language models can learn from huge amounts of text, but robots and other physical AI systems need something harder to collect: examples of people completing real tasks in real environments.
A robot that sorts parcels, handles tools, inspects equipment, or assists on a production line has to understand more than what an object looks like. It needs context. Which object should be picked up first? How should a tool be held? What changes when a part is slightly out of place? [Read more…] about How First-Person Video Could Become a New Data Source for Industrial AI