Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles
Shuo Li,Ekin Öztürk,Christophe De Wagter,Guido C. H. E. de Croon,Dario Izzo,Shuo Li,Ekin Öztürk,Christophe De Wagter,Guido C. H. E. de Croon,Dario Izzo
Optimal control holds great potential to improve a variety of robotic applications. The application of optimal control on-board limited platforms has been severely hindered by the large computational requirements of current state of the art implementations. In this work, we make use of a deep neural network to directly map the robot states to control actions. The network is trained offline to imit...
