GRAPH NEURAL NETWORK (GNN) BASED TOPOLOGY CONTROL IN SELF-ORGANIZING WHEELED ROBOT SWARMS
This study examines a Graph Neural Network (GNN)-based approach for controlling communication topology and coordinated motion in self-organizing wheeled robot swarms under dynamically changing spatial and network conditions. The proposed framework represents robots as graph nodes and wireless communication links as gra...