arxivcs.CVcs.LGcs.RO2026-07-15
Depth-Regularized JEPA World Models Learn More Transferable Representations from Real Outdoor Robot Data
World models, especially based on JEPA architectures, have been shown to learn robust dynamics of various environments. However, learning from visually complex real-world data remains a challenge, especially in unpredictable outdoor environments. We introduce depth as a geometric…