Undergraduate Projects

MAHVS2: Multiple Autonomous Heterogenous Vehicle Simulation 2

The study of human responses and behavior in the coordination of military flight scenarios has demonstrated that there are an infinite number of factors to consider when creating systems to assist decision-making processes. This has created an initiative for the development of flight simulation programs that researchers can employ to gauge how different types of individuals handle stressful flight situations. The resulting data from these experiments can help in creating a thorough AI system that flight controllers can utilize to make more informed decisions.

Solution Description

To contribution to this field of study, our group will be expanding on a pre-existing flight simulation program. Our clients want the end-result for this evolving system to be a tool for researchers to create custom situations, in which data can be gained from the participation of multiple volunteers.  Certain functionalities of the old system needed revision, along with the inclusion of features, such as a complete control over the parameters of experiment trials.

Technologies Used

Backend:

Flask API (web framework for the web deployment of our application, mainly for the data and file handling).

Frontend:

Godot Game Engine uses HTML5 to assist with deploying the application for web browsers.

Development Environment & Engine:

Godot Game Engine and IDE (GDScript as the language, which is Godot Engine’s custom language).

Developed By:
Antony Hanna
Timotius Mukri
Bill Vo