Kaifeng Zhang (@kaiwynd)
2025-11-06 | โค๏ธ 149 | ๐ 32
๐งต Evaluating robot policies in the real world is slow, expensive, and hard to scale. During my internship at @SceniXai this summer, we had many discussions around the two key questions: how accurate must a simulator be for evaluation to be meaningful, and how do we get there?
Our new framework, Real2Sim-Eval, takes a step toward that answer. By combining Gaussian Splatting for photorealistic rendering and soft-body digital twins for realistic dynamics, we make simulation predictive of real-world performance. ๐ https://real2sim-eval.github.io/
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