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Verification registerRobotics, Autonomy & Spatial

Living definition

What is Google DeepMind RT-2 (Robotics Transformer 2)?

Embodied AI & Robot LearningRobotics, Autonomy & Spatial

Kind
Model
Released
2026-10-22
Cohort
model-001

Description

What it is and what it is for

AI-assisted draft · independently checked

Robot learning is a research field at the intersection of machine learning and robotics. It studies how a robot can acquire new skills or adapt to its environment through learning, which is hard partly because a robot's physical body brings difficulties such as real-time constraints for collecting data. RT-2 (Robotic Transformer 2) is a model that takes camera images and a written instruction and turns them into robot actions. Its makers describe it as a vision-language-action model (one that links images, language and robot actions) that learns from both web and robotics data, and it writes robot actions as text-like tokens so they can be trained alongside web text and images, and the aim is to let a robot interpret commands that were not in its robot training data. Google DeepMind introduced it in July 2023.

Written from primary sources and reference pages, and checked against them by an independent AI fact-checker. Drafted with AI assistance.

Primary sources

Where this description comes from

  1. RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control (project page)Google DeepMind / Google Research authorsProject
  2. RT-2: New model translates vision and language into actionGoogle DeepMindVendor

A plain-language summary that simplifies technical detail; it does not assess readiness, maturity or adoption.

Release record

Published description

Published on

Cohort
model-001
Root
sha256:c61dbbd5f64d5ec9e0219936a943311d34d95406a09965d8d58c10742e63b78b
Entry
sha256:099ac1e1c726315a9cf30341334d906f517847496ddf1f4f8cc826c0667cf271

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