“Some of our people who collect data had no robotics experience they were working in retail ... they also became very well trained in robotics”
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Said on Latent Space: The AI Engineer Podcast
Latent Space: The AI Engineer Podcast · Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy - Jason Ma, Dyna Robotics
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collect a few hours of tele-operated robot data, train a model on it, then deploy the model to the robot in the real world
couple hours
“Some of our people who collect data had no robotics experience they were working in retail ... they also became very well trained in robotics”
“We have already deployed tens of robots… our goal next year is overall just deploying hundreds of robots”
“We trained the final model on the SpaceX cluster ... a few weeks of pre-training, then synthetic data NRL and then shipping it”
“We then collected those corrections and then basically fed them back into the training data, retrained the models. They then got better.”
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