Awomo-SimDataEngine: Agentic Simulation-Ready World Generation
Awomo-SimDataEngine: Agentic Simulation-ReadyWorld Generation
This paper presents Awomo-SimDataEngine, an agentic system for generating robot-training data that ensures physical validity, object interaction, and repeatable task execution. The system integrates image-based scene reconstruction and text-based environment generation, with a graph-native framework for validation and repair. Evaluations show improved performance on MuJoCo-based LIBERO-Plus, with a World-Action Model success rate increasing from 77.17% to 89.43%.
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Source：arXiv Robotics — research abstracts · arxiv.org