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# Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics
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Yuxuan Yang, Johannes A. Stork, and Todor Stoyanov

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## TODO
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- [x] test fork from public repo and merge request
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- [ ] combine all training models and generating data python scripts to two files(one for position twist representation, the other for position quanternion representation)
- [ ] add results analyse and plot scripts
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- [ ] python script for animation based on pyBullet (pyBullet setup instruction)
- [ ] model predictive control script (ROS and Bullet(C++) setup instruction)
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## Demo

### Long-term prediction



### Model predictive control results
control based on our learned model

![](imgs/control_1.gif)  ![](imgs/control_2.gif)


## Installation

### Install Dependencies if using Conda

### Install Dependencies if using Docker


## Evaluation

## Training


## Citing