How Dyna Robotics Hit 99.4% Success Over 24 Hours of Napkin Folding With Reward-Model Supervision

AI Engineer · youtube · 2026-09-24

Dyna Robotics co-founder and CTO Jason Ma explains how generalist robots go from "great video, bad product" to production reliability:

80–90% success makes a great video but a poor product; Dyna-1 folds restaurant napkins at 99.4% success over 24 hours straight, recovering even after pulling over the whole stack.
The key is a reward model that watches and scores the robot's progress; score dips flag mistakes, letting the team collect targeted recovery data in a human-in-the-loop active-learning cycle.
Data and architecture: a pre-training pyramid of 200,000+ hours; a reasoning model paired with a world action model.
New tasks in under an hour of data; deployments in restaurants and a Sacramento laundromat, plus 3 days of shirt folding at CoRL with no site-specific data.

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