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Robotics & Physical AI34 min read

Dyna Robotics deploys Dyna-2.1 robots folding napkins at Din Tai Fung with 99.4% success rate

Dyna Robotics co-founder and chief scientist Jason Ma detailed the company's Dyna-2 world-action model and its physical deployment Dyna-2.1 on the Latent Space podcast. The model was pre-trained on over one million hours of human egocentric video, using a diffusion transformer architecture with flow matching for real-time control. Ma said the system achieves a 99.4% success rate folding…

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Key points

  • Dyna-2 pre-trained on over one million hours of human video using diffusion transformer with flow matching
  • Dyna-2.1 robots deployed at Din Tai Fung and Best Western, achieving 99.4% napkin-folding success over 24 hours
  • New tasks learned from 45 minutes of demonstrations; Dyna builds custom hardware, actuators, and on-device inference stack

Model page: GPT-6 →

Full story from Latent Space · by Latent.SpaceOpen source ↗

Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy — Jason Ma, Dyna Robotics

Latent Space · 13 October 2026

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This text was published by Latent Space and written by Latent.Space. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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