Anqi Li*, Zhiyong Wang*, Jiazhao Zhang*, Minghan Li, Yunpeng Qi, Zhibo Chen, Zhizheng Zhang^†, He Wang^†

ICRA 2026

UrbanVLA is a route-conditioned Vision-Language-Action model for urban micromobility. It aligns high-level navigation routes with visual observations to enable scalable, long-horizon navigation.

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^†

ICLR 2026

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.

Shaoan Wang*, Jiazhao Zhang*, Minghan Li, Jiahang Liu, Anqi Li, Kui Wu, Fangwei Zhong, Junzhi Yu, Zhizheng Zhang^†, He Wang^†

CoRL 2025

TrackVLA is a vision-language-action model capable of simultaneous object recognition and visual tracking, trained on a dataset of 1.7 million samples. It demonstrates robust tracking, long-horizon tracking, and cross-domain generalization across diverse challenging environments.