Autonomous Mobile Robot Navigation

An advanced autonomous mobile robot navigation program using CustomTkinter for the GUI, incorporating machine learning (ML) and computer vision (CV) for a sophisticated navigation system.

Table of Contents

• Features
• Technologies
• Installation
• Usage
• Docker Setup
• Contributing
• License

Features

• Autonomous robot navigation using advanced path planning algorithms
• Obstacle detection and avoidance using ML and CV
• Real-time data capture from camera and LIDAR sensors
• GUI for monitoring and controlling the navigation

Technologies

• Python 3.9
• CustomTkinter
• OpenCV
• TensorFlow
• Numpy
• Docker

Installation

Prerequisites

• Python 3.9+
• Docker

Steps

1. Clone the repository:

   git clone https://github.com/kayung-developer/Autonomous-Mobile-Robot-Navigation.git
   
   cd robot-navigation

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the dependencies:

pip install -r requirements.txt

4. Usage

• Running the GUI
• Start the CustomTkinter GUI:

python gui/navigation_gui.py

• Running the Navigation System, Start the robot navigation system

python robot/navigation.py

Docker Setup

• Build the Docker image:

docker build -t robot-navigation .

• Run the Docker container:

docker run -p 8000:8000 robot-navigation

Developed By Pascal Saviour