Skip to content
arXiv Robotics — research abstracts· Gengze Zhou, Yicong Hong, Jiazhao Zhang, Xunyi Zhao, Jian Zhou, Zixing Lei, Zun Wang, Chongyang Zhao, Xionghui Chen, Stephen Gould, Anton van den Hengel, Qi Wu·· 24 hours agoSignalEditorial score85

NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime

NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime

Summary

NavGPT-3 is a new system that connects language models with action policies for autonomous navigation. It uses a hierarchical runtime architecture to enable reasoning, acting, and monitoring in parallel, with the action policy trained on 19.28M examples. The system achieves state-of-the-art results on R2R-CE and matches human performance on RxR-CE, demonstrating the potential of integrating language models with physical control.

Source: arXiv Robotics — research abstracts · Read original article ↗

Loading article text…

Source:arXiv Robotics — research abstracts · arxiv.org

Timezone · UTC

Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).