Runway details Praxis-1 robotics model and reports benchmark results
Overview
Runway says its Praxis-1 model, a 27B-parameter mixture-of-experts diffusion transformer that predicts video and actions together, scores 80.0% on SimplerEnv after fine-tuning on Google's RT-1 robot, a robot it never saw in training.
Runway says the original RT-1 policy scores 52.4% on the same benchmark. The company also says Praxis-1 succeeded in all 15 simulated trials on Noble Machines' robot after learning from under 30 minutes of teleoperated demonstrations.
Runway argues general video is the most scalable source of robotics data, since a model trained to predict video learns how objects behave and how tasks unfold. The company says its technical report covers the model's architecture, training stages and results.
Written by AI from the articles below · updated Nov 11, 10:21 AM ET
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Developments
3 developments
- Nov 11, 10:04 AM ET · 1 articleRunway reports Praxis-1 robot task-learning resultsRunway: Runway's Praxis-1 succeeds in all 15 simulated robot trials after 30 minutes of demos
- Nov 11, 10:04 AM ET · 1 articleRunway reports Praxis-1 robotics evaluation resultsRunway: Runway's Praxis-1 hits 80.0% on SimplerEnv after RT-1 fine-tuning
- Nov 11, 10:04 AM ET · 1 articleRunway details Praxis-1 architecture, training and resultsRunway: Runway details Praxis-1, a 27B video and action model, in a technical report
Article timeline
The articles in this story. Times are ET.
Runway@runwaymlOfficialRunway's Praxis-1 succeeds in all 15 simulated robot trials after 30 minutes of demosAIRunway says its Praxis-1 model succeeded in all 15 simulated trials on Noble Machines' robot after learning from under 30 minutes of teleoperated demonstrations.

Runway@runwaymlOfficialRunway's Praxis-1 hits 80.0% on SimplerEnv after RT-1 fine-tuningAIRunway says its Praxis-1 model, fine-tuned on Google's RT-1 robot, a robot it never saw in training, reaches 80.0% on SimplerEnv. The original RT-1 policy scores 52.4% on the same benchmark. Runway argues general video is the most scalable source of robotics data, since a model trained to predict video learns how objects behave and how tasks unfold.

Runway@runwaymlOfficialPickRunway details Praxis-1, a 27B video and action model, in a technical reportAIRunway says Praxis-1 is a 27B-parameter mixture-of-experts diffusion transformer that predicts video and actions together. The company says its technical report covers the model's architecture, training stages and results.
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