Mechanical and Manufacturing Engineering
This project aims to use reinforcement learning to control an underwater robot.
You'll use a new underwater robot (ROV - remotely operated vehicle) to investigate using machine learning for control purposes. This will involve some simulations in MATLAB/Simulink, and the opportunity to apply the controllers that you develop to the BlueROV owned by the School. This is a unique opportunity to do reinforcement learning and deep learning and apply it to a real-world system.
School
Research Area
Robotics | Control engineering | Underwater robotics | Autonomous systems | Reinforcement learning | Deep learning | Machine learning
- Research Environment
- Expected Outcomes
- Supervisory team
- Reference Material/Links
I have weekly 30-minute meetings with my thesis and ToR students, as well as a bi-weekly group meeting where we share progress and help each other with debugging or other thorny problems.
- Poster showing the aims and outcomes of the project
- A control algorithm that has been tested in a simulated environment (e.g. Simulink)
- A control algorithm that has been implemented on an underwater ROV
