# Fudan and NTU propose SimpleVLN: native multimodal large model sets new SOTA in vision-language navigation

- Source: CVer · 微信公众号
- Published: 2026-10-30T10:35:54.000Z
- RoboHot: https://robohot.news/en/items/jn65zne5pinw2pg2idh4o7lgy
- Original: https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247644224&idx=3&sn=ef92376310f20ca235cb32b3ea644494&chksm=f8cfe257eb4f4acd65e13041ea7c78f1c4fec6dde11b3515da3e0eaa5094b963c836dd411eeb&scene=126&sessionid=1793370695#rd

## Summary

A team from Fudan University and Nanyang Technological University, among others, proposed SimpleVLN, which performs vision-language navigation without changing the core structure of a multimodal large model or adding dedicated navigation modules, relying only on observation filtering, action-chunk decision-making, and three-stage training with SFT, DAgger, and reinforcement learning.