A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions
Esen Yel,Nicola Bezzo,Esen Yel,Nicola Bezzo
Due to changes in model dynamics or unexpected disturbances, an autonomous robotic system may experience unforeseen challenges during real-world operations which may affect its safety and intended behavior: in particular actuator and system failures and external disturbances are among the most common causes of degraded mode of operation. To deal with this problem, in this work, we present a meta-l...
