- Step 1: Learn the forward dynamics
- Step 2: Train the feedforward MLP
- Step 3: Configure Controller
- Step 4: Run!
To cite this paper:
We encourage our users to cite the publication that we prepared for this work. Please find it at this direction:
@misc{manzano2021highbandwidth,
title={High-bandwidth nonlinear control for soft actuators with recursive network models},
author={Sarah Aguasvivas Manzano and Patricia Xu and Khoi Ly and Robert Shepherd and Nikolaus Correll},
year={2021},
eprint={2101.01139},
archivePrefix={arXiv},
primaryClass={cs.RO}
}
The model: The model is a hierarchical, recursive, neural network model that is capable of doing forward predictions by feeding back to itself the predictions from previous timesteps. Here is the output of the system.