# huchunxu/ros_exploring

《ROS机器人开发实践》源码

Repository: https://github.com/huchunxu/ros_exploring
Canonical: https://ross.abutalabs.com/products/ros_exploring
Homepage: https://www.guyuehome.com
Language: Python
License Family: other
Last push: 2024-02-15T10:07:39+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3191, "days_push": 930, "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 1077, forks 556 (observed 2026-08-28T04:03:29.618893+00:00)

## What it is
Companion source code repository for the Chinese book 'ROS Robot Development Practice' (《ROS机器人开发实践》). It contains ROS and ROS2 example packages covering ROS basics, mobile robots, robotic arms, perception, and machine learning.

## Use cases
- learn ROS by following a book with runnable examples
- get sample packages for mobile robots and robotic arms in ROS
- study robot perception examples like camera and lidar
- compare ROS1 and ROS2 package implementations
- find starter code for robot machine learning experiments

## When to choose
- you are reading the book and want its exact example code
- you want beginner-friendly ROS1/ROS2 package examples in Chinese

## When to avoid
- you need a maintained production robotics framework
- you require an OSI license for redistribution
- you want English-language documentation

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: robotics, machine-learning, simulation, developer-tools
- domain: robotics, tutorials, education, machine-learning
- platform: python, cpp
- tags: ros, ros2, robotics-book, source-code, chinese, tutorials, example-code, linux

## Member repositories
- huchunxu/ros_exploring (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:29.618893+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 2026-08-30T06:53:15.478408+00:00, confidence not recorded.
  - readme: https://github.com/huchunxu/ros_exploring (fetched 2026-08-28T04:03:29.618893+00:00, sha 7f6e2f859cb7)
  - homepage: https://www.guyuehome.com (fetched 2026-08-29T12:54:48.816168+00:00, sha 7aed63eed6f0)
- Data as of 2026-08-30T08:39:29.467469+00:00.