Two ways to get robot demonstration data - filming humans, or teleoperating robots. They have different costs, strengths and failure modes. Here is how to choose.
VLA models map what a robot sees and is told into actions. This explainer covers how they work and the demonstration data they depend on.
Physical AI is AI that perceives and acts in the physical world - robots and embodied agents. Its bottleneck is data. Here is what that data is and why it is scarce.
Egocentric data is first-person video of a person doing a task. It is the scarce ingredient for teaching robots to act - here is what it is and why it matters.
What actually goes into a research-grade first-person capture: Aria glasses, depth sensors, hand pose, and the formats your training stack expects.
The internet is not a substitute for first-person human demonstration. Here's the maths.