Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models
Yue Zhang, Ziqiao Ma, Jialu Li, Yanyuan Qiao, Zun Wang, Joyce Chai, Qi, Wu, Mohit Bansal, Parisa Kordjamshidi

TL;DR
This survey reviews the current state and future prospects of Vision-and-Language Navigation, emphasizing how foundation models influence research challenges, methods, and opportunities in the field.
Contribution
It provides a structured overview of VLN research, highlighting the impact of foundation models and proposing a framework for embodied planning and reasoning.
Findings
Foundation models are transforming VLN research.
Current methods leverage foundation models for improved navigation.
Future opportunities include advanced reasoning and embodied planning.
Abstract
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.
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Taxonomy
TopicsReligious Tourism and Spaces · Geographic Information Systems Studies
MethodsSoftmax · Attention Is All You Need
