Robotics labs are hunting for motion and video data to train AI models

Developers are betting that first-person footage and precision motion capture can solve the data bottleneck holding back physical AI Robots have a reading problem. Not literacy, exactly, but a shortage of the material they need to learn from. Robotics labs are now collecting motion and video data at scale to train the AI models that power their machines. The goal is simple to state and hard to pull off: teach robots to handle real-world tasks by showing them how humans do it. The push comes as the industry runs into what amounts to a data bottleneck.

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