Predicting 3D rigid body dynamics with deep residual network
This study investigates the application of deep residual networks for predicting the dynamics of interacting three-dimensional rigid bodies. We present a framework combining a 3D physics simulator implemented in C++ with a deep learning model constructed using PyTorch. The simulator generates traini...
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| Format: | Internet publication |
| Language: | English |
| Published: |
2024
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