NeuroPathFinder

NeuroPathFinder is an innovative project aimed at enhancing pathfinding algorithms and robotics simulations through the integration of complex indoor environment mapping and advanced pathfinding techniques. This repository hosts a module that plots a navigation map, which can be utilized in pathfinding algorithms and robotics simulations, and will soon include implementations of various pathfinding algorithms.

Features

Navigation Map Plotting: A Python script capable of plotting a navigation map with predefined obstacles, customizable start and goal points, ensuring these points are not located on obstacles. This feature is crucial for testing pathfinding algorithms in a simulated environment.
Pathfinding Algorithms (Coming Soon): Implementation of various pathfinding algorithms to navigate through the plotted maps efficiently.

Getting Started

Prerequisites

Python 3.6 or higher
Matplotlib library

Installation

Ensure Python 3.6 or higher is installed on your system. You can download it from python.org.

It's recommended to use a virtual environment for Python projects. To set it up:

python -m venv venv
source venv/bin/activate  # On macOS/Linux
.\venv\Scripts\activate  # On Windows

Install Matplotlib

To install Matplotlib, run the following command in your terminal:

pip install matplotlib

Running the Navigation Map Plotter

To run the Navigation Map Plotter, navigate to the plotter directory and execute:

python navigation_map_plotter.py

This command plots the navigation map using the default start and goal points along with the predefined obstacles. For custom start and goal points, modify the script accordingly.

Research Paper

The repository includes a research paper titled "Navigating in Complex Indoor Environments: A Comparative Study". This paper offers a comprehensive comparison of various pathfinding algorithms in complex indoor environments, highlighting the challenges and proposing innovative solutions to enhance navigation accuracy and efficiency.

Read the Research Paper

Contributing

Contributions to NeuroPathFinder are welcome! Whether it's implementing new algorithms, enhancing the navigation map plotter, or improving the documentation, your contributions are valuable to us.

License

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

AlperHuseyn/NeuroPathFinder