Mahmoud Akl

End to End Learning of Spiking Neural Network Based on R-STDP for a Lane Keeping Vehicle

Learning-based methods have demonstrated clear advantages in controlling robot tasks, such as the information fusion abilities, strong robustness, and high accuracy. Meanwhile, the on-board systems of robots have limited computation and energy resources, which are contradictory with state-of-the-art…