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Dungeon Crawler

Dungeon Crawler is a demonstration and implementation in a 3D game environment of the A* (A Star) pathfinding algorithm we learned during our Algorithms for Games class in college.

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Table of Contents
  1. About The Project
  2. Getting Started
  3. License
  4. Contact
  5. Acknowledgements

About The Project

Dungeon Crawler Screen Shot

Dungeon Crawler is a demonstration and implementation in a 3D game environment of the A* (A Star) pathfinding algorithm we learned during our Algorithms for Games class in college.

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Built With

Unity C#

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Getting Started

To get a local copy up and running follow these simple example steps.

Prerequisites

This project requires Unity Engine version 2021.2.3f1.

Installation

  1. Clone the repo
    git clone https://github.com/empobla/DungeonCrawler.git
  2. Open the project folder with Unity Hub.
  3. In the project navigator, go to the assets directory and find the "Scenes" folder.
  4. Click on the "DungeonCrawler1" scene to load it.
  5. Go to Unity->File->Build Settings and verify that all the scenes in the "Scenes" folder are in the "Scenes in Build" list.
  6. If scenes from the "Scenes" folder are missing or are not in the build list, add the scenes to the build list and enable them.
  7. The game should be ready for building and running.

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License

This project is property of Emilio Popovits Blake. All rights are reserved. Modification or redistribution of this code must have explicit consent from the owner.

Sample code by Leonard D. Brown, University of Arizona. This program was developed for educational purposes only. Media assets contained within this program may not be redistributed without written permission of authors.

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Contact

Emilio Popovits Blake - Contact

Project Link: https://github.com/empobla/DungeonCrawler

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Acknowledgements

Licensed media assets were used from the following sources:

  1. https://alexkim0415.wixsite.com/dungeonmason
  2. https://coderespawn.com

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A demonstration and implementation in a 3D game environment of the A* (A Star) pathfinding algorithm.

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