机器之心 JIQIZHIXIN (@jiqizhixin)
2026-01-24 | ❤️ 77 | 🔁 9
What if we could train AI robots in a perfect, physics-accurate simulation?
Researchers from The Chinese University of Hong Kong, Shenzhen propose GS-World.
It’s a new method that uses a generative simulation engine to automatically create the vast, realistic data—objects, environments, physics—that AI needs to learn.
This engine-driven approach outperforms current methods in efficiency for training capable, real-world embodied AI, enabling scalable progress in robotics and autonomous systems.
GS-World: An Efficient, Engine-driven Learning Paradigm for Pursuing Embodied Intelligence using World Models of Generative Simulation
Paper: https://t.co/rbFzaKIAQI Project: https://t.co/gDTkgrdfsA Code: https://t.co/U129sswvev Doc: https://t.co/X1qi4xIIFu
Our report: https://t.co/zjjK7XYUXS
📬 PapersAccepted by Jiqizhixin
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