Causal World Modeling for Robot Control

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Authors: Lin Li, Qihang Zhang, Yiming Luo, Shuai Yang, Ruilin Wang, Fei Han, Mingrui Yu, Zelin Gao, Nan Xue, Xing Zhu, Xing Zhu, Mingyu Ding
+2 more Yujun Shen, Yinghao Xu
Cited by: 2

Abstract

Work done during internship at Robbyantfrom intermediate denoised videos for fast inference.Evaluations on simulation and real-world benchmarks demonstrate that Lingbot-VA excels in complex manipulation, including longhorizon, high-precision, and deformable object tasks.Our code and models are publicly available. Video Model Language Model Action Model Video Model Action Model"Unpack delivery" 1.7 1.25 -3.1 1.7 1.25 -3.1 1.0 -2.2 0.

Fields of Study & Subjects

Multimodal Machine Learning Applications Generative Adversarial Networks and Image Synthesis Reinforcement Learning in Robotics

Publication details

Journal / source
Robotics: Science and Systems XXII
Publisher
Robotics: Science and Systems Foundation
Publication date
13 July 2026