AI RESEARCH
STABLE: Simulation-Ready Tabletop Layout Generation via a Semantics-Physics Dual System
arXiv CS.CV
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ArXi:2605.16137v1 Announce Type: new Generating simulation-ready tabletop scenes from task instructions is an intriguing and promising research direction in the field of Embodied AI. However, existing task-to-scene generation methods rely exclusively on large language models (LLMs) to predict scene layouts, inevitably yielding object collisions or floating due to LLMs' inherent limitations in 3D spatial reasoning. In this paper, we present STABLE, a semantics-physics dual-system tailored for simulation-ready tabletop scene generation.