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March 19, 2026cs.ROcs.AIcs.CVcs.LGeess.SYIntermediate
NavTrust: Benchmarking Trustworthiness for Embodied Navigation
Huaide Jiang, Yash Chaudhary, Yuping Wang, Zehao Wang, Raghav Sharma, Manan Mehta, Yang Zhou, Lichao Sun, Zhiwen Fan, Zhengzhong Tu, Jiachen Li
AI-Generated Summary
NavTrust is a new benchmark that tests how well AI navigation systems handle real-world problems like blurry images, sensor noise, and unclear instructions. The researchers found that current state-of-the-art navigation systems perform much worse when exposed to these corruptions, and they tested four strategies to make these systems more reliable. They also validated their findings on an actual robot to confirm the improvements work in practice.
Difficulty
Intermediate
Categories
cs.RO, cs.AI, cs.CV, cs.LG, eess.SY
AI Tags
embodied AIroboticsvision-language navigationrobustnessbenchmarkmultimodal learningcorruption/noise handling