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Control of a Drone in Virtual Reality Using MEMS Sensor Technology and Machine Learning
Florin Covaciu1, Anca-Elena Iordan2
1Department of Design Engineering and Robotics, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania.
Micromachines
|April 23, 2022
Summary
This study introduces a new upper-limb device for drone control training in virtual environments. Utilizing MEMS sensors and AI, it enhances pilot safety and simplifies drone operation for beginners.
Area of Science:
- Robotics and Control Systems
- Human-Computer Interaction
- Artificial Intelligence
Background:
- Drones are increasingly used in diverse sectors, posing significant accident risks.
- Effective drone pilot training is crucial for safe operation.
- Virtual environments offer a safer alternative for training novice pilots.
Purpose of the Study:
- To develop an innovative device for intuitive drone control within virtual environments.
- To enhance drone pilot training safety and accessibility.
Main Methods:
- Development of a novel upper-limb mounted control device.
- Integration of Micro-Electro-Mechanical Systems (MEMS) sensors for precise motion tracking.
- Application of artificial intelligence (AI) algorithms for sophisticated control interpretation.
Main Results:
- The developed device enables precise and simplified drone control in simulations.
- It offers a safe and effective training solution for new drone pilots.
- The system demonstrates potential for reducing accidents during drone operation.
Conclusions:
- The new device represents a significant advancement in drone pilot training technology.
- Combining MEMS sensors and AI provides a robust platform for virtual drone control.
- This approach enhances pilot proficiency and operational safety in drone applications.
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