Tootfinder

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots
Junwen Gu, Zhiheng wu, Pengxuan Si, Shuang Qiu, Yukai Feng, Luoyang Sun, Laien Luo, Lianyi Yu, Jian Wang, Zhengxing Wu
https://arxiv.org/abs/2510.07869

USIM and U0: A Vision-Language-Action Dataset and Model for General Underwater Robots
Underwater environments present unique challenges for robotic operation, including complex hydrodynamics, limited visibility, and constrained communication. Although data-driven approaches have advanced embodied intelligence in terrestrial robots and enabled task-specific autonomous underwater robots, developing underwater intelligence capable of autonomously performing multiple tasks remains highly challenging, as large-scale, high-quality underwater datasets are still scarce. To address these…