D3D-GEN: Robot-Aware Domain-Grounded Interactive 3D World Generation for Social Robotics

Training and validation of Embodied AI for social navigation critically depends on realistic simulation environments, yet many current approaches fail to find a balance between realism and simulability. We propose D3D-GEN, a novel world generation system that combines a domain agent with a retrieval-augmented generation (RAG) pipeline grounded in that domain. Our system enables users to rapidly generate domain-grounded, fully interactive 3D worlds by automating both the collection of domain know

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ethics.ai (12 August 2026), “D3D-GEN: Robot-Aware Domain-Grounded Interactive 3D World Generation for Social Robotics,” evidence record 19047, https://ethics.ai/record/19047 (originally published by arXiv cs.HC).

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