A Cloud-Edge Framework for Energy-Efficient Spiking Neural Network-Based Control with Obstacle Avoidance Capabilities

The proposed cloud-edge framework employs an energy-efficient spiking neural network (SNN) to learn and reproduce control signals from a cloud-based controller, enabling reliable and autonomous control of a physical plant (e.g., satellite) with obstacle avoidance capabilities.