AIBullisharXiv – CS AI · 8h ago7/10
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SceneSmith: Agentic Generation of Simulation-Ready Indoor Scenes
SceneSmith is a new AI framework that generates realistic, physics-accurate indoor environments from natural language descriptions for robot simulation and training. The system produces 3-6x more objects than existing methods with minimal collisions, achieving 92% realism in user evaluations and enabling automated robot policy testing.