US-based Dyna Robotics has released its DYNA-2 robot trained on human videos

Dyna Robotics on Monday introduced a new robot foundation model DYNA-2, which it says was trained on over a million hours of human video and no robot data. 

The US-based company believes this approach could help solve the cost issues that have limited general-purpose robots.

Why robot builders keep running out of training data

DYNA-2 aims to solve a common problem in building general-purpose robots, which is getting enough data. Most robots learn through teleoperation, where a person guides the machine through tasks for hours. 

The issue here is that the method is slow, costly, and hard to scale, which limits how advanced these systems can get.

Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws:

• world-action models exhibit scaling law on human data across four orders of magnitude, from 1000… pic.twitter.com/wZamR0axzS

- Dyna Robotics (@DynaRobotics) August 10, 2026

Dyna’s solution is to leave out the robot during training. DYNA-2, instead, was trained only on egocentric human video, which is footage from a person’s point of view as they interact with objects. 

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