# qqfly/how-to-learn-robotics

开源机器人学学习指南

Repository: https://github.com/qqfly/how-to-learn-robotics
Canonical: https://ross.abutalabs.com/products/how-to-learn-robotics
Language: Python
License: NOASSERTION
License Family: other
Topics: robotics, learning-notes, chinese
Last push: 2026-07-20T05:42:14+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 93, release rhythm 35, longevity 100
- inputs: {"age_days": 2755, "days_push": 44, "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 1846, forks 324 (observed 2026-08-28T04:05:43.497766+00:00)

## What it is
An open-source Chinese-language self-study handbook for robotics, published as a MkDocs site with an English edition. It lays out a step-by-step learning path with recommended textbooks, courses, and resources from beginner to advanced topics like modern robotics, 3D vision, motion planning, and embodied AI.

## Use cases
- learn robotics from scratch on my own
- find a structured robotics learning path
- best textbooks and courses for robotics
- study motion planning and 3D vision
- robotics guide for non-CS-background engineers
- learn robotics in Chinese

## When to choose
- You want a curated, opinionated roadmap for self-studying robotics
- You prefer Chinese-language (or translated English) explanations with linked resources
- You are an engineering student or engineer without formal robotics training

## When to avoid
- You need hands-on code, libraries, or a runnable robotics framework
- You want a formal textbook with exercises and rigorous derivations
- You need up-to-date coverage of embodied AI, which is still being organized

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: robotics, education, tutorials
- platform: python
- tags: robotics, self-study-guide, chinese, mkdocs, open-textbook, motion-planning, 3d-vision, embodied-ai, web-server

## Member repositories
- qqfly/how-to-learn-robotics (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:43.497766+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 2026-08-30T03:17:53.394745+00:00, confidence not recorded.
  - readme: https://github.com/qqfly/how-to-learn-robotics (fetched 2026-08-28T04:05:43.497766+00:00, sha c0f0da52be18)
- Data as of 2026-08-30T08:39:29.467469+00:00.