OpenBot
Platform
PolicyOpenReadiness 76/100Useful

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
WeightsPaperModel index A–Z

Decision summary

Best for

Bimanual manipulation success

Main blocker

Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.

Next check

Run a checkpoint loading smoke test before marking the model pipeline-tested.

Release history

Source-backed release timing for this canonical model record.

Important releases

  1. Model series introduced

    Release timing is anchored to the cited paper publication date.

    Paper

Selection readiness

Evidence dimensions for deciding whether this model is ready to inspect, compare, or adopt. Scores describe catalog evidence, not task performance.

Published evaluation

How scores work

76/100

Useful

5/6 dimensions scored · 63% confidence

Access and governance75conf. 85
Artifact availability90conf. 90
Training and loading reproducibility70conf. 65
Training data requirements76conf. 70
Evaluation evidenceNot scoredconf. 10
Deployment readiness70conf. 55
Engineering checks (OBRS) behind this record
Engineering checksBronze

Needs Audit

4/12checks passed

OBRS metadata and reported test evidence. A breakdown behind Selection readiness, not a separate score or an independent OpenBot certification.

Standardization & Loaders15 / 25 pt
Physical & Action Quality12 / 25 pt
Semantic & Annotation12 / 20 pt
Real-World Validation0 / 15 pt
License & Compliance10 / 15 pt
Missing evidence and readiness gaps
  • A passing real-hardware test report is required.
  • A passing ingestion/pipeline test report is required.
  • A passing privacy and provenance review is required.

Why these scores

The strongest decision reasons behind Selection readiness.

Top 3 adoption signals

Artifact availability

Useful

Checkpoint files were verified in the official repository metadata.

90 · confidence 90

Training and loading reproducibility

Useful

Configuration files are present; runtime loading is not tested.

70 · confidence 65

Evaluation evidence

Unknown

No structured evaluation evidence has been verified.

— · confidence 10

Data requirements

Declared loop-data needs, missing evidence, and the next checks that matter.

4 required categories

Observation / ego video

observation

required

Language intent / task phase

language intent

required

Action / robot state

actions · robot state · trajectory

required

Sim-real / embodiment metadata

robot state

required

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.

Browse datasets

OBayData Dexterous Manipulation Demo

Dexterous-hand data demos

Useful

provisional fit 100 · confidence 60

3 matched · 0 unknown

EgoWorld

Schema validation for LeRobot v3

Useful

provisional fit 83 · confidence 40

2 matched · 1 unknown

MicroAGI01

Household skill segmentation

Useful

provisional fit 100 · confidence 60

3 matched · 0 unknown

More evidenceShow

Additional decision dimensions

Access and governanceUseful

Access and license are declared by the source.

75 · c85
Training data requirementsUseful

Required signal categories are structured; exact tensor and action interfaces still need verification.

76 · c70
Deployment readinessUseful

Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.

70 · c55

Artifact 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: [![Website](https://img.shields.io/badge/Website-0A7DBD)](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

ProjectProject

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.