  Vision-and-Language Navigation (VLN) has gained increasing attention over
recent years and many approaches have emerged to advance their development. The
remarkable achievements of foundation models have shaped the challenges and
proposed methods for VLN research. In this survey, we provide a top-down review
that adopts a principled framework for embodied planning and reasoning, and
emphasizes the current methods and future opportunities leveraging foundation
models to address VLN challenges. We hope our in-depth discussions could
provide valuable resources and insights: on one hand, to milestone the progress
and explore opportunities and potential roles for foundation models in this
field, and on the other, to organize different challenges and solutions in VLN
to foundation model researchers.
