Awomo-SimDataEngine: Agentic Simulation-ReadyWorld Generatio
Overview
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%.
From arXiv Robotics — research abstracts
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- 2026-10-05T04:57:46.249Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
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- arXiv Robotics — research abstractsAwomo-SimDataEngine: Agentic Simulation-Ready World 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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