Vision-language navigation requires agents to follow natural-language instructions to reach target locations, making high-quality language supervision essential. Since human annotation is costly, prior work has explored scalable data synthesis methods. However, existing methods typically either use separate models for...
Song-Ze Li, Hao-Ming Gu, Zi-Yang Gong et al.· 0 citations
NavGPT-3 is presented, a harness that connects the two models, with an OS-like runtime built above it: reasoning, acting, and monitoring run as threads with their own context, tools, and permissions, while the runtime schedules them and decides which thread controls the robot's motion, so that the robot can react to su...
Geng-Ze Zhou, Yicong Hong, Jiazhao Zhang et al.· 0 citations
NavMCP is introduced, an agentic scaffolding framework that couples a VLM reasoning agent with an NFM executor for long-horizon exploration that achieves state-of-the-art results on HM-EQA, MT-HM3D, and EXPRESS-Bench.
Zi-Xing Lei, Geng-Ze Zhou, Xiong-Hui Chen et al.· 0 citations
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