Background and Motivation
The Drone Reinforcement Learning Arena offers a safe physical environment specifically designed for UiA drones. Engineered to facilitate extended drone experiments, the arena features mechanisms to reset and initialize crashed drones, along with provisions for wireless charging and dedicated compartments for AI computer and other essential hardware. Our UiA drone is built to be crash-resistant, requiring only minor modifications to withstand most crash scenarios within the arena.
This project aims to establish a complete solution for Reinforcement Learning (RL) flight controller development including simulation and physical environment. Additionally, it enables the showcasing of drone flight performance at different stages of training, even without undergoing training in the RL arena itself.
The initiative builds upon years of development on our sub-250-gram UiA drone and the compact Drone Arena from 2021.
Scope and Adaptability
This project can be customized to fit the group's size and specific interests, making it suitable for both BSc and MSc students in Mechatronics. For MSc-level students, the focus will likely be more on modeling and simulating the setup. For BSc-level students, the emphasis should probably be on the mechanical system, electronics, and basic software components. The project owner can accommodate up to two groups for this project.
RL and AI will be used on top of this, so the RL algorithm development does not need to be within scope.
Possible Technologies, Software Frameworks, and Components
Each component can be tailored to fit the students' skill level, making it suitable for both BSc and MSc level projects. The project owner can accommodate up to two groups for this work.
For questions aboute scope and possibilities, contact Kristian Muri Knausgård <firstname.lastname@example.org>.