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The purpose of the Multi-UAV (unmanned aerial vehicle) simulator was to create an environment where an individual could practice controlling multiple drones at once.
The purpose of the Multi-UAV (unmanned aerial vehicle) simulator was to create an environment where an individual could practice controlling multiple drones at once.
Summary
Students at the GRILL® worked to create a simulated environment allowing users to control 2-4 independent UAVs which recognized and differentiated enemies from friends.
This project included integrating validated surveys, such as the NASA-TLX a workload index, and realistic distractors within the environment.
Features and Design
Software
Unreal Engine 4
Blender
Quixel Megascans
Quixel Bridge
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Hardware
COTS computer and monitors
Contributions
Team:
Ashton Tucker
Akhilesh Prasad
Sidhanth Verma
Mentor:
Mr. Jack Hu
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Clients:
ATLAS Lab, Florida Tech
Dr. Summer Rebensky
Outcomes and Additional Information
The challenge included UAVs flying pre-programmed paths, each covering a quadrant of the map, and utilizing integrated surveys to record data. Operators also needed to be able to take over flight operations of the UAVs at any time, then the UAVs had to be able to return to their pre-programmed paths.
The final product featured fully functional levels with four independent UAVs in a unique custom map and the ability to recognize friend from foe.
The simulator design allows it to have high cognitive fidelity while also allowing for flexibility.
Publications related to this effort
Carmody, K., Ficke, C., Nyguyen, D., Addis, A., Rebensky, S., & Carroll, M. (2022). A qualitative analysis of trust dynamics in human-agent teams (HATS). Human Factors and Ergonomics Society (HFES) conference proceedings.
Rebensky, S. Carmody, K., Ficke, C., Carroll, M., & Bennet, W. (2022). Teammates instead of tools: The impacts of level of autonomy on mission performance and human-agent teaming dynamics in multi-agent distributed teams. Frontiers Robotics & AI – Ethics in Robotics and Artificial Intelligence, 9. https://doi.org/10.3389/frobt.2022.782134
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