Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation
Navigating under non-stationary environment shifts poses a critical challenge for a Vision-and-Language Navigation (VLN) agent deployed in the wild. Yet, existing Test-Time Adaptation (TTA) methods for VLN largely treat online adaptation as transient, isolated updates, leading to catastrophic forgetting and negative transfer. To overcome these issues, we propose Inter-Domain BridgE with Historical Assets (IDEA), a novel TTA framework that transforms adaptation into the accumulation and composition of assets. Specifically, IDEA introduces soft prompts optimized via a Fisher-guided weighting scheme to capture the transferable knowledge. These optimized prompts are then augmented with domain...
| Authors | Zixuan Hu, Xuantuo Huang, Yancheng Li et al. |
|---|---|
| Primary category | cs.RO |
| Published | 22 May 2026 |
| Last updated at source | 22 May 2026 |
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