Dynamic Object Manipulation (DOM) Project Page Paper Code TL;DR: DOM is a large scale dynamic manipulation dataset with 200K episodes, 2,800+ scenes, and 206 objects for training and evaluating VLA models. Introduction The Dynamic Object Manipulation (DOM) benchmark is designed to address the challenges of rapid perception and temporal anticipation in robotics. It includes: 200K synthetic episodes across 2,800+ scenes and 206 objects. Support for evaluating VLA models in dynamic scenarios requiring continuous control and closed loop adaptation. Citation If you find this dataset or the DynamicVLA framework useful for your research, please cite: Changelog [2026/04/26] The dataset is released. [2026/01/31] The repo is created.
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