Industry Brief is a world-action model pre-trained on more than one million hours of egocentric human video. It exhibits a scaling law on held-out human data and, for the first time, a human-to-robot transfer scaling law. The News Dyna Robotics has announced the launch and commercial deployment of its DYNA-2 World-Action Model, a robot foundation model trained on over one million hours of human egocentric video data. This development has led to the scaled deployment of Dyna's robots at Din Tai Fung's US locations, marking a significant milestone as the first time a robot foundation model company has transitioned a commercial pilot to widespread adoption across all locations and commissaries. What It Is DYNA-2 is a novel robot foundation model designed as a 'world-action model' that learns physical intuition directly from more than one million hours of human video, rather than traditional robot action data. It functions as a single generative model capable of predicting future video and actions, built upon a video-diffusion backbone. This model has demonstrated the ability to transfer learned knowledge of human behavior across various robot embodiments, including stationary arms, humanoids, and dexterous robotic hands. Key Highlights DYNA-2 is trained on over 1 million hours of human egocentric video, bypassing the need for expensive robot teleoperation data. It has been deployed at Din Tai Fung's US locations, achieving an efficiency of folding 1,590 dumplings a day with an…
Dyna Robotics Unveils DYNA-2 World-Action Model, Achieves Scaled Commercial Deployment
From the industry · 01/08/2026