# SLAM-Handbook-contributors/slam-handbook-public-release

Release repo for our SLAM Handbook

Repository: https://github.com/SLAM-Handbook-contributors/slam-handbook-public-release
Canonical: https://ross.abutalabs.com/products/slam-handbook-public-release
Language: TeX
License Family: other
Last push: 2026-05-28T00:31:38+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 84, release rhythm 35, longevity 48
- inputs: {"age_days": 676, "days_push": 98, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4612, forks 304 (observed 2026-08-28T04:08:54.990504+00:00)

## What it is
The public release repository for the SLAM Handbook, an open book on Simultaneous Localization and Mapping written by leading experts and published by Cambridge University Press. It contains the LaTeX sources of the book chapters, released incrementally for public feedback via issues and discussions.

## Use cases
- learn SLAM from scratch
- understand factor graphs for SLAM
- reference for simultaneous localization and mapping research
- study spatial AI and state estimation
- cite authoritative SLAM chapters in a paper
- find background theory for robotics mapping algorithms

## When to choose
- you want a comprehensive, expert-written reference on SLAM theory and applications
- you are a researcher or student needing citable book chapters on localization and mapping
- you want to follow or contribute feedback on an evolving open SLAM textbook

## When to avoid
- you need runnable SLAM code or a software library rather than a book
- you want a short tutorial instead of an in-depth handbook
- you need a license permitting redistribution, since no license is specified

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: robotics, tutorials
- platform: cross-platform
- tags: slam, book, tex, spatial-ai, localization, mapping, cambridge-university-press, algorithms

## Member repositories
- SLAM-Handbook-contributors/slam-handbook-public-release (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:54.990504+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 2026-08-29T18:19:42.493375+00:00, confidence not recorded.
  - readme: https://github.com/SLAM-Handbook-contributors/slam-handbook-public-release (fetched 2026-08-28T04:08:54.990504+00:00, sha e073cc80238a)
- Data as of 2026-08-30T08:39:29.467469+00:00.