Predicting Cable Dynamics with Physical Attention Bias
The paper introduced a physical attention bias to help AI models predict how long cables will move over time. By allowing the model to choose between arc-length and Euclidean distances when looking at distant parts of a cable, it significantly improved accuracy. This suggests that incorporating real-world physics directly into the attention mechanism is a powerful way to make simulations more stable and accurate for deformable objects.