{"id":"2cd7e049-d607-4549-bafc-5ebef5e52734","slug":"rdt-1b","name":"RDT-1B","description":"Robotics Diffusion Transformer (RDT-1B): a 1B parameter diffusion-based VLA for bimanual manipulation. Developed by Tsinghua University. Competitive with pi0 and OpenVLA on real-world dexterous tasks.","brainType":"research-model","isOpen":true,"maturityStage":"research","architecture":"Diffusion Transformer, 1B params","reviewStatus":"reviewed","sources":[{"url":"https://rdt-robotics.github.io/rdt-robotics/","title":"RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation","sourceName":"Tsinghua RDT team"},{"url":"https://github.com/thu-ml/RoboticsDiffusionTransformer","title":"Robotics Diffusion Transformer repository","sourceName":"Tsinghua RDT team"},{"url":"https://huggingface.co/robotics-diffusion-transformer/rdt-1b","title":"RDT-1B model","sourceName":"Hugging Face"}],"keyFacts":[{"label":"Model scale and pretraining (primary project page)","value":"The RDT-1B project page presents Robotics Diffusion Transformer with 1.2B parameters as a diffusion-based foundation model for robotic manipulation, pretrained on a multi-robot collection of 46 datasets with 1M+ episodes, then fine-tuned on 6K+ ALOHA dual-arm episodes. Authors are from Tsinghua University. Treat largest framing and dataset counts as author-stated (RDT project page)"},{"label":"Capabilities claimed (primary project page)","value":"The page says RDT supports control of modern manipulators including dual-arm, joints, end-effectors, and wheeled locomotion, and reports demos of dexterity, zero-shot generalization to unseen objects and scenes, instruction following, few-shot learning with 1-5 demonstrations, and real-time inference at 6 action chunks/sec or 381 actions/sec. Treat performance claims as project demos, not a fleet census (RDT project page)"},{"label":"Official code and model release","value":"The RDT project links its implementation and training materials through the RoboticsDiffusionTransformer repository and publishes an RDT-1B model entry on Hugging Face (RDT GitHub, RDT-1B model)"},{"label":"Bimanual manipulation research scope","value":"The RDT project presents RDT-1B as a diffusion foundation model for bimanual manipulation and documents real robot demonstrations and training resources on its project page (RDT project)"},{"label":"Diffusion policy","value":"The RDT project presents RDT-1B as a diffusion foundation model for bimanual robotic manipulation (RDT-1B project)."},{"label":"Multi-robot pretraining","value":"The RDT project says its model was pretrained on a multi-robot collection spanning more than one million episodes and 46 datasets (RDT-1B project)."},{"label":"Open implementation","value":"The RDT team publishes implementation and training materials in its RoboticsDiffusionTransformer repository (RDT GitHub)."}],"aliases":[],"collisionRisk":"low","reviewNote":null,"builtOnBrainId":null,"createdAt":"2026-08-09T14:35:26.995Z","updatedAt":"2026-10-09T22:00:43.250Z","jsonLd":{"@context":"https://schema.org","@type":"SoftwareApplication","@id":"https://registry.deploy.report/brains/rdt-1b","url":"https://registry.deploy.report/brains/rdt-1b","name":"RDT-1B","description":"Robotics Diffusion Transformer (RDT-1B): a 1B parameter diffusion-based VLA for bimanual manipulation. Developed by Tsinghua University. Competitive with pi0 and OpenVLA on real-world dexterous tasks.","identifier":"2cd7e049-d607-4549-bafc-5ebef5e52734","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":3,"primary_source_types":["code-repository","model-repository"]}}}