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Embodied Navigation Foundation Model
Jiazhao Zhang*, Anqi Li*, Yunpeng Qi*, Minghan Li*, Jiahang Liu,
Shaoan Wang, Haoran Liu, Gengze Zhou, Yuze Wu, Xingxing Li, Yuxin Fan,
Wenjun Li, Zhibo Chen, Fei Gao, Qi Wu, Zhizheng Zhang†, He Wang†
arXiv preprint
NavFoM is a cross-embodiment and cross-task navigation model trained on 8 million samples encompassing quadrupeds, drones, wheeled robots, and vehicles, spanning tasks including vision-and-language navigation, object searching, target tracking, and autonomous driving.
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