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Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · Jun 18, 2026 · Foundation models · 7 citations · 29 upvotes · unverified

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What it shows

Qwen-RobotNav is a scalable navigation model with a parameterized interface enabling dynamic task modes and observation parameters, achieving state-of-the-art performance through multi-task training and zero-shot generalization to real-world robotics.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Jiazhao Zhang, Gengze Zhou, Hale Yin and 31 more
arXiv
2606.18112 · PDF
Venue
arXiv.org
Citations
7, 0 influential · Semantic Scholar
Upvotes
29 · Hugging Face
Code
github.com/QwenLM/Qwen-RobotNav
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 7Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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