oomwoo

makerspetApache-2.0活跃维护

开源扫地机器人项目,用 ESP32、树莓派和激光雷达搭建可 DIY 的自主清扫机器人,支持 SLAM 建图与 Home Assistant 接入。

Open-source vacuum robot cleaner

暂无版本13,046star +39 / 7 天819fork同步于 2026-11-10 11:27 UTC

怎么上手

由 README 提炼,执行前请确认
git clone https://github.com/makerspet/oomwoo-install
硬件要求按 README 说明

主控为树莓派CM4/CM5,需配2D LiDAR;README未说明具体显存或GPU要求,仿真在Gazebo中运行。

支持 Apple Silicon
下载:源码 zip·GitHub Releases(安装包)本站不镜像安装包

项目说明

由 README 自动翻译提炼

自己动手造的开源扫地机器人,用树莓派和3D打印件搭建,本地运行不依赖云

开源扫地机器人项目,用 ESP32、树莓派和激光雷达搭建可 DIY 的自主清扫机器人,支持 SLAM 建图与 Home Assistant 接入。

核心能力

  • 用低成本2D LiDAR建图并自主导航
  • 基于ROS2/Nav2运行,原生接入Home Assistant
  • 树莓派CM4/CM5作为主控,3D打印底盘可改装
  • 提供Gazebo仿真环境,硬件未就绪也能先开发
  • 无云依赖,常规功能全部本地运行

容易踩的坑

目前尚不可实机搭建,只能先在Gazebo仿真中运行;实机需自行采购BOM清单中的零件,官方套件非必需;硬件设计文件、PCB和固件仍未发布,需关注进度。

内容由模型根据 README 生成,可能不完整或不准确,以官方文档为准。看原文 README

最近发版

0 个版本

暂无 release 数据(可能没有发版,或尚未同步)。

用户点评

登录用户的真实使用记录,可按版本和硬件筛选
共 0 条

    还没有人点评。第一个说出真实体验的人最有价值。

    README 原文

    未翻译

    OOMWOO

    Open-source robot vacuum you build yourself

    Clean well · Hackable · Raspberry Pi · 3D printed · Local / No cloud required · Home Assistant · Arduino · ROS2 · ESP32

    License Status

    OOMWOO is an open-source home robot vacuum you can build yourself, built using Raspberry Pi, 3D-printing, Home Assistant, Arduino and ROS2. It uses an affordable 2D LiDAR to map your home and navigate on its own. Local, no cloud required for regular functionality, no vendor lock-in. Follow us building in public Discord | X | Instagram | Facebook | Reddit | newsletter | YouTube | oomwoo.com | Tutorials

    Not buildable yet - you can run it in simulation today. Build instructions follow once the first bill of materials is validated on real hardware. See where the build is.

    Reference design images - this is approximately how the finished design will look:

    Reference robot vacuum cleaner top Reference robot vacuum cleaner bottom Reference robot vacuum cleaner - top cover removed

    Goals

    • Affordable, fully open hardware, software and firmware
    • Home appliance product quality - not a throwaway build
    • Easy to build, with step-by-step zero-to-hero instructions
    • 2D LiDAR mapping and autonomous navigation (ROS2 / Nav2)
    • Native Home Assistant integration for local control
    • 3D-printable, documented, and hackable chassis
    • Buildable from parts you source yourself
    • Local, no cloud required for regular functionality
    • Optional extra functionality when connected to the cloud
    • Apps on top of ROS2 to customize vacuum operation
    • Stretch goal: App store
    • Stretch goal: LeRobot integration, OpenClaw

    v0 target: bare-bones build:

    • 3D-printed chassis (browse)
    • ROS2 Gazebo sim (install)
    • Basic cleaning, mapping
    • Raspberry Pi CM4/CM5 running ROS2 (install)

    Open Source Deliverables:

    Contributing

    Would you like to contribute? See CONTRIBUTING for the full guide.

    OOMWOO is organized to be built by the community, massively in parallel. The vacuum and its software are subdivided into modules, listed on the RFC board.

    A volunteer picks whatever module she wants and works on it whenever she wants. For code and simulation modules she builds her package in her own repo and sends a short PR linking it from the module; for docs and specs she contributes files in-tree under contributions/module-name/<her-github-username>. See CONTRIBUTING for how this works.

    Multiple developers are welcome to work on the same module. The best solution for each module surfaces over time, with the project master having the last call.

    1. Pick a contribution from the RFC board.
    2. Let us know you're working on it and your progress.
    3. Check ARCHITECTURE.md and SOFTWARE_INTERFACES.md for the system design and ROS2 interfaces.

    Requests for Contributions

    Every module below is actionable now — build it against the Gazebo simulation (oomwoo-one) or a real placeholder robot (a Proscenic M6 Pro connected to ROS2 or a Roborock S5 Max), until OOMWOO hardware is ready. Pick one, tell us in Discussions, build it in your own repo (docs and specs go in-tree), and send a short PR linking it from the module.

    Every RFC — software, firmware, hardware and procurement — lives on the RFC board, together with its current progress and status. That board is the single source of truth, so this page links to it rather than copying it: a second copy here only ever drifts out of date. Broadly:

    • Software & simulation — cleaning, localization & navigation, perception, the Gazebo sim
    • Firmware & electronics — STM32 I/O board firmware, the I/O + motor-driver PCB, the board interface
    • Mechanical & procurement — brushes, blower fan, dust bin, part specs and STEP models

    → Browse the RFC board and pick a module

    Planned and on-hold modules (mechanical design, later-phase software) live in the RFC backlog.

    Source code reference

    Related prior art

    User requirements & Design research

    Anecdotal prospective user requirements - collected mostly in r/RobotVacuums, r/ROS and as announcement post comments:

    • open-source
    • 3D printed first
    • cleans well, a first-class appliance, not a throwaway build
      • never gets stuck
      • hair tangle-free
      • modern capabilities - no legacy drag mop; dual-spinning rotary mop or better/roller
      • bagless
    • hackable, DIY fixable, upgrade-able
      • examples: vacuum-only version, mop-only version
      • Raspberry Pi
      • Home Assistant integration
    • operates without cloud
    • later: ability to retrofit existing legacy vacuum cleaner robots

    About

    The project name "OOMWOO" is a rotational ambigram - it reads the same flipped 180°, like the robot itself, roaming your floor in every direction.

    The project is sponsored by makerspet.com and remake.ai. We are reusing their open-source solutions.

    • If you'd rather skip the parts hunt, a kit (motors, PCB, brushes, gaskets, LiDAR) will be available at makerspet.com, from the same maker behind this project. The kit is a convenience, never a requirement. Everything here stays open.
    • When we get to apps, remake.ai will be providing its robot apps platform and app store. Using the app store will be entirely optional. The vacuum will always support cloud-free, local operation for regular functionality out-of-the-box.

    License

    Code is released under the Apache License 2.0.

    Hardware design files, once added, to be released under an open hardware license (TBD).