Author

Tsun-Hsuan Wang

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#artificial intelligence Preprint Sep 2026

Text2Sim: Agentic Physics-Based Simulation Generation with Distilled Expertise

Creating diverse physical simulations remains labor-intensive because assets, layout, physical parameters, motion, control, and rendering must be designed and debugged jointly. We present Text2Sim, a simulation-specialized agentic pipeline that converts a text-only request into an executable, editable dynamic case. Bui...

Xiao-Yu Xiong, T. Wang, Yi-Ling Qiao et al. · 0 citations

Jul 2026

GS-Agent: Creating 4D Physical Worlds With Generative Simulation

GS-Agent is presented, an end-to-end multi-agent framework that integrates physics engines in the loop to generate realistic, dynamic, and controllable 4D physical worlds from natural language, envisioned as a foundation for a new paradigm in 4D world generation, empowering creative content creation and physical AI.

Hongxin Zhang, Chun-Tse Lin, Junyan Li et al. · arXiv.org · 1 citation