| Publisher | EpicVR |
|---|---|
| File size | 52.29MB |
| Number of files | 188 |
| Latest version | 1 |
| Latest release date | 2024-12-15 04:08:12 |
| First release date | 2024-12-15 04:08:12 |
| Supported Unity versions | 2018.4.2 or higher |
The aim of the project is to develop a new product in the form of a universal self-learning tool for VR application developers enabling automated and easy implementation of multiplayer gameplay options in VR games on various devices using advanced artificial intelligence and machine learning algorithms that learn the specifics of a given programmer's work in order to propose the best solutions for a given project specificity.
The developed artificial intelligence algorithms learn the specifics of a given programmer's work in real time designing a multiplayer VR game and generate dynamic hints and recommendations in the selection of the most effective methods and paths of the programmer's conduct in order to save time for implementation, and suggesting the implementation of functions most adequate for a given specificity project. The tool will allow for a significant acceleration of the programmer's work and will facilitate the organization of the source code. The use of machine learning techniques will also increase the realism of mapping the behavior of all characters participating in a multi-person VR experience through the ability to register and automatically create a library of movements based on recorded real player/user movements.
The developed solution will be addressed to development teams and individual creators dealing with programming multiplayer gameplay in VR games and applications. Creation solutions currently available on the market Multiplayer games are not suited to creating VR experiences. Therefore, the creators use them in limited scope, and many functionalities have to be created independently from scratch. The solution proposed in the application It will therefore meet the direct needs of programmers designing multiplayer games in the VR environment.
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The package contains additional examples added as unitypackage to better organize the file structure. The instructions in the main README file describe how to unpack the given packages.
