ROS1 Localization · Navigation

Open-Source Teaching Fleet

A hands-on ROS1 tutorial series for x86 edge computing units — from zero to SLAM, localization and navigation. Every example compiles and runs on real hardware; every parameter is verified against the source code. Native carrier: the Romindly Mind robotics micro IPC.

-MULTI-PLATFORM CORE

One Core, Every Platform · Palm-Sized

A palm-sized 75×75×48.5 mm, 350 g core that mounts on drones, AMRs, AGVs and inspection robots — every tutorial and Docker image on this site runs unchanged across all of them. Learn once, deploy everywhere.

0~180° core-board rotation for irregular hulls  GH1.25 vibration-proof connectors

DC 12~19V wide input, battery-ready

 

-FLIGHT ROUTE

Learning Route

Follow the sectors in order: setup → basics → simulation → mapping → localization → navigation → deployment. 

-LAUNCH SEQUENCE

Deploy in 3 Minutes

Four steps to launch the whole fleet on a machine with Noetic installed. No ROS yet? Start from the first setup tutorial.

-CARRIER VEHICLE

Recommended Carrier · Romindly Mind

The native platform of this tutorial series: Romindly Mind, a micro IPC built for robots and drones. Same x86_64 architecture as every tutorial on this site — what works here, works on it out of the box.

For more details, please visit GitHub.

Main Code Repository：

https://github.com/Romindly-Dev/romindly_ros1_workspace

Documentation Tutorial ：

https://romindly-dev.github.io/romindly_ros1_workspace/#quickstart

In-house developed ROS1, compatible with other industrial controllers in the Romindly Magic Cube series

M1-2L Micro IPC

M1-4L Micro IPC