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 ↗
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Source:arXiv Robotics — research abstracts · arxiv.org