… THE OCTO MODEL In this section, we describe the Octo model, our open-source generalist
robot policy that can be adapted to new robots and tasks — including new sensory inputs …

… THE OCTO MODEL In this section, we describe the Octo model, our opensource generalist
robot policy that can be adapted to new robots and tasks — including new sensory inputs …

… open-source policy inference code for real-to-sim evaluation of common generalist robot
policies (RT-1 [6], RT-1-X [11], and Octo … across multiple open-source generalist policies, we …

… cloud robotics system that enables the full policy improvement loop … is the first open-source
distributed robot navigation system that … improve and deploy a policy across a fleet of robots. …

… We evaluate OpenVLA and prior state-of-the-art generalist robot policies on a comprehensive
… Additionally, we evaluate Octo [5] fine-tuned on the target dataset, since it is currently the …

… , an open-source framework for robot teleoperation that supports a variety of robots, including
… OPEN TEACH is fully open-source with the mixed reality API, policy training code, and …

… the specialist knowledge and skills in a particular subarea of … of the ROS ecosystem, and
adopt policies and ideas that ensure it … Lastly, since ROS is one of few open-source robotics …

… Training generalist robotic policies with massive amounts of … size of robotic datasets [3],
the dominant robot learning … Additionally, we plan to opensource all collected datasets for …

… open source the full dataset, policy learning code, and a detailed guide for reproducing our
robot … We remove the Language Table dataset [29], equivalent to 5% of the Octo training mix, …

… Figure 1: Overview of SCAR, we propose a system for training generalist policies leveraging
real-to-sim simulation on crowdsourced scans. These have zero-shot transfer and scanned …