/ROS_tutorials

A ROS tutorials to help installing, configure, and check the working of different ROS functionalities

Primary LanguageJupyter NotebookMIT LicenseMIT

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ROS Tutorials with OpenCV and Python

Welcome to the ROS Tutorials repository, created and maintained by Binbasri-in. This repository is your go-to resource for getting started with the Robot Operating System (ROS), alongside introductory guides to OpenCV. It is designed for individuals looking to step into the world of robotics, providing clear instructions on installing ROS, running simple demos, and leveraging OpenCV in Python for image processing tasks.

Introduction

The Robot Operating System (ROS) offers a comprehensive framework to develop complex robot software systems. It provides tools, libraries, and conventions that facilitate constructing robot functionality from individual components. This repository also introduces OpenCV and Python, two powerful tools for robotics programming, focusing on image processing applications.

Getting Started

To kickstart your journey with ROS and OpenCV, ensure you meet the following prerequisites and follow the setup instructions.

Prerequisites

  • A Linux-based operating system (Ubuntu 20.04 LTS recommended for ROS Noetic compatibility)
  • Basic familiarity with terminal commands
  • Some programming knowledge in Python

Repository Structure

This repository is structured into distinct sections to streamline your learning experience:

  • ROS Installation Guide: Step-by-step instructions to install ROS on your system. working_with_ROS/Installation
  • ROS Simple Demos: Practical demos to explore ROS basics, including topics, nodes, and communication. working_with_ROS/ROS_basics
  • OpenCV with Python: Introduction to using OpenCV for image processing in Python. Learn how to manipulate images, detect objects, and integrate OpenCV with ROS. Day1_openCV_materials

Usage

Follow the tutorials in order to grasp the foundational concepts. Experiment with the provided code examples to solidify your understanding and gain hands-on experience.

Contributing

If you find any errors or wish to suggest improvements, feel free to open an issue in the repository.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Acknowledgments

  • Special thanks to the ROS and OpenCV communities for providing extensive documentation and resources that have been instrumental in creating these tutorials.