SkipWorld: Latent Skip Planning with Distilled World Models for Efficient Visual Navigation

World-model-based visual navigation enables action planning by predicting future states under candidate trajectories. However, long-horizon rollout remains challenging: models are often trained with ground-truth visual histories but deployed in closed-loop prediction, and evaluating many candidates with step-by-step rollout is computationally expensive.

摘自论文摘要，摘要生成中。