Mobi Farm Navigation with Deep Learning

Project Overview

This repository contains MATLAB code for developing a deep learning model to navigate a mobile robot. The project utilizes data from RGB-D cameras and LiDAR sensors to predict the robot's linear and angular velocities.

Getting Started

Prerequisites

• MATLAB (latest version recommended)
• Deep Learning Toolbox
• Computer Vision Toolbox
• Robotics System Toolbox
• Sensor Fusion and Tracking Toolbox

Installation

Clone the repository to your local machine:

git clone https://github.com/yourusername/your-project-name.git

Usage

1. Navigate to the project directory.
2. Run the main.m script in MATLAB:

run main.m;

Project Structure

• src/: Contains all the MATLAB source code.
• data/: Contains raw and processed data (add to .gitignore for large datasets).
• lib/: Third-party libraries or dependencies.
• doc/: Documentation and reports.
• test/: Test scripts and validation datasets.
• results/: Output results, figures, and logs.
• tools/: Utility scripts and helper functions.
• demos/: Demo scripts demonstrating project usage.

Contributing

Feel free to fork the repository and submit pull requests. You can also open issues to discuss potential changes or report bugs.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Thanks to all the contributors who have invested their time in improving this project.