OOMWOO’s mechanical design is not drawn from a blank sheet. It starts by researching ready-made parts that can’t be 3D printed (motors/sensors), capturing their dimensions, tearing down and reverse-engineering consumer vacuums to learn the state-of-the-art – and remaking that into…
OOMWOO is built from sourced vacuum parts – Roborock drive wheels, off-the-shelf blower fans, iRobot cliff sensors. Before the I/O board can be laid out, each part has to be brought up on the bench: identify the connector, work out…
Future home for OOMWOO open-source vacuum cleaner robot build instructions. Bring-up notes for the sourced motors, fans and sensors – connectors, pinouts and measured currents – are in hardware bring-up, and the CAD pipeline behind these parts is in how…
Here are issues we've ran into building OOMWOO open-source vacuum's cleaning, mapping and navigation - and our solutions.
A concise, copy-paste quickstart for running the OOMWOO robot vacuum entirely headless (no display) — aimed at LLM coding agents, CI, and automation. Every command below is verified against the makerspet/oomwoo:jazzy-dev Docker image (last re-verified 9 Aug 2026). No X…
This is the “hello world” of developing for OOMWOO. It’s deliberately simple — a reactive “drive forward, turn when blocked” coverage that, combined with SLAM, maps and roughly covers a room. Proper boustrophedon coverage is the clean-and-map RFC; this teaches…
OOMWOO is an open-source robot vacuum you build yourself. oomwoo-one is the first model. This tutorial gets its ROS 2 simulation running in Gazebo so you can develop mapping, navigation, and cleaning behaviours with no hardware — everything runs in…
I started by drafting a list of parts and deciding which have to be sourced – and which should be 3D printed. I searched each part on AliExpress to see what is available abundantly – and at what price. Find…
Tutorial Part 1 got SangamIO running on the vacuum, exposing its motors, wheel encoders, IMU and LiDAR over TCP port 5555. Part 2 connects that to ROS 2 the easy way — a prebuilt Docker image that already bundles everything:…
Run a full Proscenic M6 Pro vacuum simulation in Gazebo with the oomwoo ROS 2 image: SLAM mapping, autonomous Nav2 navigation, manual driving and bumper sensors — no hardware needed.
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