A Comprehensive Survey and Systematic Real-World Evaluation of Embodied Vision-and-Language Navigation
Navigation is a fundamental capability of autonomous systems, yet most existing approaches rely on highly structured models and strong prior assumptions, limiting their robustness in open and uncertain real-world environments. Vision-and-Language Navigation (VLN) offers a promising direction by enabling robots to integrate natural language understanding with visual perception in a data-driven manner. Although VLN has attracted increasing research attention, systematic methodological taxonomy and real-world validation remain limited. This survey presents a comprehensive review of VLN research. Specifically, state-of-the-art methods are organized along two orthogonal dimensions: action para...
| Authors | Liuyi Wang, Kai Sheng, Zongtao He et al. |
|---|---|
| Primary category | cs.RO |
| Published | 9 July 2026 |
| Last updated at source | 9 July 2026 |
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