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Andy Zhai, Brae Liu, Bruno Fang, Chalse Cai, Ellie Ma, Ethan Yin, Hao Wang, Hugo Zhou, James Wang, Lights Shi, Lucy Liang, Make Wang, Qian Wang, Roy Gan, Ryan Yu, Shalfun Li, Starrick Liu, Sylas Chen, Vincent Chen, Zach Xu · 2025 · arXiv 3177.30301

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UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models

cs.CV · 2026-04-02 · conditional · novelty 6.0

UAV-Track VLA modifies the π0.5 VLA architecture with temporal compression and dual-branch decoding to reach 61.76% success and 269.65 average frames in long-distance pedestrian tracking on a new 890K-frame UAV dataset, while cutting inference latency by 33.4%.

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  • UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models cs.CV · 2026-04-02 · conditional · none · ref 48

    UAV-Track VLA modifies the π0.5 VLA architecture with temporal compression and dual-branch decoding to reach 61.76% success and 269.65 average frames in long-distance pedestrian tracking on a new 890K-frame UAV dataset, while cutting inference latency by 33.4%.