{"id":"fd94b0f7-d33c-4176-a45e-fa31178b5b9b","slug":"rt-x","name":"RT-X / Open X-Embodiment","description":"Google DeepMind's Open X-Embodiment initiative: the seminal cross-embodiment robot learning dataset and models (RT-1-X, RT-2-X) trained across 22 robot morphologies. Demonstrated positive transfer across robot platforms. Apache 2.0 license.","brainType":"research-model","isOpen":true,"maturityStage":"research","architecture":"RT-1-X (35M) and RT-2-X (VLA) trained on Open X-Embodiment dataset","reviewStatus":"reviewed","sources":[{"url":"https://robotics-transformer-x.github.io/","title":"Open X-Embodiment: Robotic Learning Datasets and RT-X Models","sourceName":"Open X-Embodiment Collaboration"},{"url":"https://deepmind.google/blog/scaling-up-learning-across-many-different-robot-types/","title":"Scaling up learning across many different robot types","sourceName":"Google DeepMind"},{"url":"https://robotics-transformer-x.github.io/paper.pdf","title":"Open X-Embodiment: Robotic Learning Datasets and RT-X Models","sourceName":"Open X-Embodiment Collaboration"},{"url":"https://github.com/google-deepmind/open_x_embodiment","title":"open_x_embodiment","sourceName":"Google DeepMind"}],"keyFacts":[{"label":"Open X-Embodiment dataset (primary project page)","value":"The Open X-Embodiment project page says the dataset pools 60 existing robot datasets from 34 labs and contains 1M+ real robot trajectories spanning 22 embodiments, from single arms to bi-manual robots and quadrupeds. The abstract says the collaboration covers 22 robots from 21 institutions and 527 skills (160,266 tasks). Treat counts as the collaboration's stated dataset scope (Open X-Embodiment)"},{"label":"RT-1-X and RT-2-X (primary project page)","value":"The page defines RT-1-X as the RT-1 model trained on the robotics mixture and RT-2-X as the RT-2 vision-language model co-fine-tuned to output robot actions as language tokens. A caption calls RT-2-X (55B) one of the biggest models to date in the academic-lab demos. Actions are a 7-D gripper-frame vector (x, y, z, roll, pitch, yaw, gripper). The page says RT-X shows positive transfer across platforms. Treat transfer and the 55B figure as project-stated (Open X-Embodiment)"},{"label":"OXE trajectory dataset scope","value":"The Open X-Embodiment project describes a dataset combining 60 existing robot datasets from 34 labs with more than one million real robot trajectories spanning 22 robot embodiments (Open X-Embodiment)"},{"label":"Google DeepMind cross robot learning","value":"Google DeepMind explains that the Open X-Embodiment work studies learning across many robot types by pooling data from different robot embodiments and labs (Google DeepMind OXE overview)"},{"label":"Official dataset repository","value":"The Google DeepMind Open X-Embodiment repository provides code and documentation for the unified robotics dataset format and access workflow behind the RT-X research line (Open X-Embodiment repository)."}],"aliases":["Open X-Embodiment"],"collisionRisk":"low","reviewNote":null,"builtOnBrainId":null,"createdAt":"2026-08-09T14:35:25.828Z","updatedAt":"2026-10-10T01:56:08.699Z","jsonLd":{"@context":"https://schema.org","@type":"SoftwareApplication","@id":"https://registry.deploy.report/brains/rt-x","url":"https://registry.deploy.report/brains/rt-x","name":"RT-X / Open X-Embodiment","alternateName":["Open X-Embodiment"],"description":"Google DeepMind's Open X-Embodiment initiative: the seminal cross-embodiment robot learning dataset and models (RT-1-X, RT-2-X) trained across 22 robot morphologies. Demonstrated positive transfer across robot platforms. Apache 2.0 license.","identifier":"fd94b0f7-d33c-4176-a45e-fa31178b5b9b","applicationCategory":"research-model","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":"research","lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":4,"primary_source_types":["code-repository"]}}}