Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments
A Navigation Framework Utilizing Vision-Language Models
Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation
FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models
Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation
CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory
토론
이 논문과 연결된 포럼 글이 아직 없습니다.