4CNet: A Confidence-Aware, Contrastive, Conditional, Consistency Model for Robot Map Prediction in Multi-Robot Environments

The author introduces a novel deep learning method, 4CNet, for mobile robot map prediction in multi-robot environments. It incorporates a conditional consistency model, contrastive map-trajectory pretraining framework, and a confidence network to enhance exploration under resource constraints.