Octo: An Open-Source Generalist Robot Policy The Octo model is a transformer-based diffusion policy, pretrained on 800k robot episodes from the Open X-Embodiment dataset It supports flexible task and observation definitions and can be quickly finetuned to new observation and action spaces
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[2405. 12213] Octo: An Open-Source Generalist Robot Policy As a first step, we introduce Octo, a large transformer-based policy trained on 800k trajectories from the Open X-Embodiment dataset, the largest robot manipulation dataset to date
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GitHub - octo-models octo: Octo is a transformer-based robot . . . Octo models are transformer-based diffusion policies, trained on a diverse mix of 800k robot trajectories Follow the installation instructions, then load a pretrained Octo model! See examples for guides to zero-shot evaluation and finetuning and for an inference example print (model get_pretty_spec ())