Deep reinforcement learning for spacecraft control and guidance
Luca Loettgen
University of Glasgow | School of EngineeringModel-based methods for control in driverless racing
Joeseph Agrane
University of Glasgow | School of Computing ScienceThe context of autonomous racing gives rise to many interesting problems that must be solved in real-time, ranging from computer-vision algorithms to path planning and control. Control methods in autonomous racing require an accurate model of the vehicle's dynamics. I will present my approach of using a deep neural network to learn the vehicle dynamics from data and briefly discuss some related work by others.
