RDT-1B
Robotics Diffusion Transformer research
Diffusion foundation model for bimanual manipulation that uses large-scale robot data to generate action trajectories.
- Code
- Not listed
- Weights
- Available
- Checkpoint
- Available
- License
- mit
Decision summary
Bimanual manipulation success
Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.
Run a checkpoint loading smoke test before marking the model pipeline-tested.
Release history
Source-backed release timing for this canonical model record.
- Paper
Model series introduced
Release timing is anchored to the cited paper publication date.
Evidence profile
A visual read of adoption evidence. Scores describe catalog evidence readiness, not task performance.
Published evaluation
5/6
dimensions scored
Unknown evidence remains visible and is never treated as a zero.
Why these scores
The strongest decision reasons behind the evidence profile.
Artifact availability
UsefulCheckpoint files were verified in the official repository metadata.
Training and loading reproducibility
UsefulConfiguration files are present; runtime loading is not tested.
Evaluation evidence
UnknownNo structured evaluation evidence has been verified.
Data requirements
Declared loop-data needs, missing evidence, and the next checks that matter.
Observation / ego video
observation
Language intent / task phase
language intent
Action / robot state
actions · robot state · trajectory
Sim-real / embodiment metadata
robot state
Critical gaps
Core categories are represented. Interface alignment and data quality still require verification.
Linked datasets
Signal-level links only. Verify runtime interfaces before use.
OBayData Dexterous Manipulation Demo
Dexterous-hand data demos
provisional fit 100 · confidence 60
3 matched · 0 unknown
EgoWorld
Schema validation for LeRobot v3
provisional fit 83 · confidence 40
2 matched · 1 unknown
MicroAGI01
Household skill segmentation
provisional fit 100 · confidence 60
3 matched · 0 unknown
More evidenceShowHide
Additional decision dimensions
Access and license are declared by the source.
75 · c85Required signal categories are structured; exact tensor and action interfaces still need verification.
76 · c70Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.
70 · c55Artifact facts
- release_year
- official_claim
- 2024
- curated official source year
- model.required_signals
- official_claim
- observation · language intent · actions · robot state · trajectory
- Official model documentation and curated signal mapping
- model.hub
- official_claim
- declared
- curated model hub link
- model.weight_files
- metadata_verified
- repository: robotics-diffusion-transformer/rdt-1b · count: 1 · sample files: pytorch_model.bin
- Hugging Face model metadata siblings
- model.checkpoint_files
- metadata_verified
- repository: robotics-diffusion-transformer/rdt-1b · count: 1 · sample files: pytorch_model.bin
- Hugging Face model metadata checkpoint files
- model.config_files
- metadata_verified
- repository: robotics-diffusion-transformer/rdt-1b · count: 1 · sample files: config.json
- Hugging Face model metadata siblings
- license.weights
- metadata_verified
- mit
- Hugging Face model card license metadata
- license
- metadata_verified
- mit
- Hugging Face model card license metadata
- release_timing
- metadata_verified
- 2024-10-10T12:33:46.000Z
- arXiv 2410.07864 published
- discovery.source
- secondary_claim
- name: worldbench/awesome-embodied-data-pyramid · trust: discovery_only · revision: 0568599d0619f20946e8089f6a941d0d9e30b690
- #table-embodied-foundation-models-vla-wam, table 17, row 7
- discovery.raw_fields
- secondary_claim
- Time: 2024.10 · Method: RDT-1B · Institution: THU · Project: [](https://rdt-robotics.github.io/rdt-robotics/) · Model: VLA · Data: ![Real][data-real]
- #table-embodied-foundation-models-vla-wam, table 17, row 7
- model.reported_release_time
- secondary_claim
- 2024.10
- #table-embodied-foundation-models-vla-wam, table 17, row 7
- model.type
- secondary_claim
- VLA
- #table-embodied-foundation-models-vla-wam, table 17, row 7
- model.training_data_layers
- secondary_claim
- real_robot
- #table-embodied-foundation-models-vla-wam, table 17, row 7
- model.institution
- secondary_claim
- THU
- #table-embodied-foundation-models-vla-wam, table 17, row 7
- catalog.curation
- secondary_claim
- tier: editorial_focus · collection: WorldBench Awesome Embodied Data Pyramid · policy: human_curated_priority
- #table-embodied-foundation-models-vla-wam, table 17, row 7
Additional references
OpenBot notes
- Useful for showing why action/state tags need to distinguish single-arm, bimanual, and dexterous data.
- Open weights make it a practical candidate for a future OpenBot model-readiness benchmark.