机器之心 JIQIZHIXIN (@jiqizhixin)
2026-01-24 | ❤️ 77 | 🔁 9 | 💬 2
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://dexforce.com/embodichain/index.html#/ Code: https://github.com/DexForce/EmbodiChain Doc: https://dexforce.github.io/EmbodiChain/introduction.html
Our report: https://mp.weixin.qq.com/s/IGe1myOEmAW7JOrQyBLhBA
📬 PapersAccepted by Jiqizhixin
🔗 원본 링크
- https://t.co/rbFzaKIAQI
- https://dexforce.com/embodichain/index.html#/
- https://github.com/DexForce/EmbodiChain
- https://dexforce.github.io/EmbodiChain/introduction.html
- https://mp.weixin.qq.com/s/IGe1myOEmAW7JOrQyBLhBA
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