Zhou Xian
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126
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Robotics×1AI×1NLP×1Vision×1
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2026
GS-Agent: Creating 4D Physical Worlds With Generative Simulation
This paper introduces GS-Agent, an end-to-end multi-agent framework that generates realistic, dynamic, and controllable 4D physical worlds from natural language descriptions by emulating human creation process using physics engines.
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Papers
cs.ROcs.AIcs.CLEmpiricalRecentJul 23, 2026
GS-Agent: Creating 4D Physical Worlds With Generative Simulation
Hongxin Zhang, Chunru Lin, Junyan Li, Zhou Xian +2 more
This paper introduces GS-Agent, an end-to-end multi-agent framework that generates realistic, dynamic, and controllable 4D physical worlds from natural language descriptions by emulating human creatio…
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