NavTrust: Benchmarking Trustworthiness for Embodied Navigation
There are two major categories of embodied navigation: Vision-Language Navigation (VLN), where agents navigate by following natural language instructions; and Object-Goal Navigation (OGN), where agents navigate to a specified target object. However, existing work primarily evaluates model performance under nominal conditions, overlooking the potential corruptions that arise in real-world settings. To address this gap, we present NavTrust, a unified benchmark that systematically corrupts input modalities, including RGB, depth, and instructions, in realistic scenarios and evaluates their impact on navigation performance. To our best knowledge, NavTrust is the first benchmark that exposes em...
| Authors | Huaide Jiang, Yash Chaudhary, Yuping Wang et al. |
|---|---|
| Primary category | cs.RO |
| Published | 19 March 2026 |
| Last updated at source | 5 August 2026 |
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