# google-research/robotics_transformer

Repository: https://github.com/google-research/robotics_transformer
Canonical: https://ross.abutalabs.com/products/robotics_transformer
Language: Python
License: Apache-2.0
License Family: permissive
Archived: true
Last push: 2024-01-31T15:45:35+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 97
- inputs: {"age_days": 1368, "days_push": 945, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1743, forks 205 (observed 2026-08-28T04:05:30.433978+00:00)

## What it is
A Python library from Google Research implementing RT-1 (Robotics Transformer), a transformer model for end-to-end robotic control with an image tokenizer backbone and token learner compression. It includes testing utilities and pretrained TensorFlow SavedModel checkpoints for several trained variants.

## Use cases
- run RT-1 robotics transformer inference
- load pretrained RT-1 checkpoints for robot control
- train a transformer for end-to-end robotic manipulation
- tokenize camera images and actions for robot learning
- experiment with token learner architectures for robotics

## When to choose
- you want to use or extend the RT-1 robotics transformer model
- you need pretrained checkpoints for robotic control research
- you're reproducing the RT-1 paper in TensorFlow

## When to avoid
- you need a production robotics stack or hardware integration
- you prefer PyTorch or JAX rather than TensorFlow
- you need actively developed features or official support

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, transformers, robotics
- domain: robotics, machine-learning, deep-learning
- platform: python
- tags: rt-1, robotic-control, tensorflow, research-code, google-research, linux

## Member repositories
- google-research/robotics_transformer (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:30.433978+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:29:33.471536+00:00, confidence not recorded.
  - readme: https://github.com/google-research/robotics_transformer (fetched 2026-08-28T04:05:30.433978+00:00, sha c1997780d18d)
- Data as of 2026-08-30T08:39:29.467469+00:00.