Abstract: Spiking neural networks (SNNs) offer an effective approach to solving constraint satisfaction problems (CSPs) by leveraging their temporal, event-driven dynamics. Moreover, neuromorphic ...
Abstract: Learning-based controllers show promising performances in robotic control tasks. However, they still present potential safety risks due to the difficulty in ensuring satisfaction of complex ...