Author

Qi Wu

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Preprint Oct 2026

Data-Centric Recursive Self-Improvement for Navigation via Policy-Synchronized Language-Action Dual Bootstrapping

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

#artificial intelligence Preprint Oct 2026

NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime

Language models trained with long-horizon agentic reinforcement learning can generalize knowledge through reasoning, express precise actions, and pursue goals over many steps, raising the ceiling on what an embodied agent can understand and decide. Physical interaction, however, remains the domain of action policies, w...

Geng-Ze Zhou, Yicong Hong, Jiazhao Zhang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Scaffolding Foundation Models into Physical-World Agents Pushes the Frontier of Long-Horizon Navigation

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