b:botstest.Submit a resource ↗

Models / Research

R3M

Visual representation resources for robotic manipulation learning.

Visual representationsRobot learning
Publisher repository ↗
R3M resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Visual representation resources for robotic manipulation learning.

Compare observation inputs, action representations, adaptation data and inference requirements. Code licensing and model-weight licensing may differ; review both before deployment.

The repository was archived when this entry was collected. Treat it as a historical research reference. A source repository may have an open code license while its checkpoints have separate terms.

Project information

Maintainer
facebookresearch
Primary language
Python
Repository code license
MIT
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Archived in the last recorded metadata
Last observed repository push
2023-03-21

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • R3M: A Universal Visual Representation for Robot Manipulation
  • Installation
  • Using the representation
  • Training the representation
  • Evaluating the representation with behavior cloning
  • License

Browse this resource’s categories

Application areas

Education & research ↗

Explore related collections

Browse Models →