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DogPark Release Hub

This repository only hosts packaged builds of DogPark, an Unreal Engine 5.5 learning game used by Unity Environmental University to teach canine training and animal behavior. All source code lives in the private development repository; visit this repo strictly to download the latest classroom-ready binaries.

Downloading Builds

  • Head to the Releases tab.
  • Pick the build tagged for your platform (Windows, macOS, or Linux).
  • Each release includes:
    • A zipped build (DogPark-1.0.1-Windows.zip, DogPark-1.0.1-Mac.zip, etc.).
    • Release notes summarizing gameplay tweaks and educational guidance.

Tip: If you only need the newest version, download the asset labeled Latest.

System Requirements

Platform Minimum Specs Notes
Windows 4-core CPU, 8 GB RAM, GTX 1060 / RX 580, 20 GB disk Controller optional; keyboard/mouse fully supported.
macOS Apple Silicon or Intel i5+, 8 GB RAM, 15 GB disk Tested on macOS 13–15. Uses Metal.
Linux Ubuntu 22.04 or equivalent, Vulkan-capable GPU Launch via DogPark.sh.

Installation

  1. Download the platform package from Releases.
  2. Extract the archive to your preferred directory.
  3. Run the executable:
    • Windows: DogPark.exe
    • macOS: right-click DogPark.appOpen (first run only)
    • Linux: chmod +x DogPark.sh && ./DogPark.sh

Classroom Quick Start

  1. Launch the game and choose Story Mode for guided lessons or Free Play for experimentation.
  2. Set the Difficulty (0–3) in the settings menu to control reward timing and AI forgiveness.
  3. Follow the on-screen instructor to practice Sit, Stay, Come, Fetch, etc...
  4. Discuss outcomes with students using the post-session scoreboard and Ajax’s feedback cues.

Reporting Issues

Because source code is hosted elsewhere, please:

  1. Open a GitHub Issue in this repository.
  2. Include the release tag, platform, steps to reproduce, and logs (Saved/Logs/DogPark.log).
  3. Attach screenshots or short clips if behavior-specific.

Need Source Access?

DogPark is owned by Unity Environmental University. If you require source access (curriculum integration, research collaboration, or localization), contact the program coordinator or email xr@unity.edu with your institution and intended use.

About

An Unreal Engine–based dog-training simulation used for teaching foundational behaviors like sit, stay, and recall in an interactive virtual environment.

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