# robotics-survey/Awesome-Robotics-Foundation-Models

Repository: https://github.com/robotics-survey/Awesome-Robotics-Foundation-Models
Canonical: https://ross.abutalabs.com/products/awesome-robotics-foundation-models
License: MIT
License Family: permissive
Last push: 2024-10-07T19:03:58+00:00

## Health v2 (maintenance only)
Score: 27/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 73
- inputs: {"age_days": 1023, "days_push": 695, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1398, forks 121 (observed 2026-08-28T04:04:36.896062+00:00)

## What it is
A curated awesome-list companion to the survey paper 'Foundation Models in Robotics: Applications, Challenges, and the Future', cataloging papers on foundation models applied to or relevant to robotics. It organizes resources across robot policy learning, task planning with LLMs, open-vocabulary perception, and simulators.

## Use cases
- find papers on foundation models in robotics
- get started with robot policy learning research
- find LLM-based robot task planning papers
- survey open-vocabulary perception for robot manipulation and navigation
- find robotics simulators and embodied AI resources
- find references for a robotics foundation models literature review

## When to choose
- you need a curated reading list of robotics foundation model papers
- you are writing a survey or literature review on embodied AI
- you want a structured map of the field matching a peer-reviewed taxonomy

## When to avoid
- you need runnable code or a maintained software library
- you need up-to-the-minute papers after late 2024
- you want tutorials with hands-on exercises rather than paper links

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, machine-learning
- domain: robotics, artificial-intelligence, tutorials
- platform: cross-platform
- tags: awesome-list, survey-paper, foundation-models, embodied-ai, robot-learning, research-papers

## Member repositories
- robotics-survey/Awesome-Robotics-Foundation-Models (main) score 27

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:36.896062+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 2026-08-30T04:39:14.232628+00:00, confidence not recorded.
  - readme: https://github.com/robotics-survey/Awesome-Robotics-Foundation-Models (fetched 2026-08-28T04:04:36.896062+00:00, sha 8dd92a86b7ff)
- Data as of 2026-08-30T08:39:29.467469+00:00.