MEKAWIRE
专业arXiv

MVG-WAM: Multiple View Geometry-Aware World-Action Modeling for Robotic Manipulation

Wenbo Chen, Tianfu Li, Haoxuan Xu, Zhihao Cao, Zhenghan Chen, Zhengming Zhu, Zizhou Luo, Guosheng Yang, Yuan Liu, Lujia Wang, Wen Chen, Haoang Li
暂无中文版,显示英文原文。
摘自论文摘要

World-Action Models (WAMs) couple visual dynamics with action prediction, bringing the rich priors of pretrained video models to robotic manipulation. However, their multi-view interfaces typically tile images or concatenate tokens, leaving the geometric relationships among synchronized cameras implicit.

摘自论文摘要,摘要生成中。

受许可协议限制,本站不转载该论文全文,仅提供摘要和原文链接。