🪔 Diwali Break: Orders placed now will ship from 25th November 2026. Place your order today — we'll get it to you right after we're back!
Project Hub /Artificial Intelligence & Edge ML/License Plate Recognition (ANPR)/ROS based Robot for Home Mapping and Positioning
ROS based Robot for Home Mapping and Positioning
Advanced
RASPBERRY PI
> ₹15,000
6 – 12 Hours
Partial Kit

ROS based Robot for Home Mapping and Positioning

Learn how to build a Robot Operating System (ROS) controlled robot equipped with a LiDAR sensor for indoor mapping and autonomous positioning.

Originally published on ElectronicsForU
View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

We don't carry yet: Battery (generic / unspecified)
Laser / LiDAR / ToF Sensor

Browse all components

How It Works

Why Build This

Master industrial navigation standards by implementing Robot Operating System (ROS) nodes, topics, and SLAM algorithms on real hardware.
Bridge high-level Python software logic with physical hardware actuators and sensors using standard Linux development workflows.
Design and deploy autonomous mobile robot systems applicable to warehouse automation, indoor security patrolling, and autonomous service robotics.

Real-World Application

Indoor autonomous navigation, warehouse automation, robotic vacuum cleaners, and indoor security patrolling.

Skills You'll Learn

ROS node architecture
SLAM mapping
LiDAR sensor integration
mobile robot kinematics
Python GPIO control
RViz visualization
Ubuntu Linux system administration

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Technology Tags

ROS
LIDAR
ROBOT OPERATING SYSTEM
PYTHON
UBUNTU
SLAM
NAVIGATION
ROBOTICS

Frequently Asked Questions

You should match your ROS distribution to your specific Ubuntu OS release compatible with the Raspberry Pi 5, such as ROS Noetic or newer ROS2 distributions depending on your software pipeline requirements.
Yes, standard 2D or 3D LiDAR sensors supported by the YDLidar SDK can be substituted, though map fidelity and positioning accuracy may vary based on angular resolution and range.
Not necessarily. You can run ROS master nodes and drivers headlessly on the Raspberry Pi while running RViz and the graphical interface on a separate host computer over a local network using ROS master-slave network configurations.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.
PRJ-00379