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Publicación relacionada
| Relaño, C., Muñoz, J., Monje, C. A. (2023). Gaussian process regression for forward and inverse kinematics of a soft robotic arm, Engineering Applications of Artificial Intelligence, 126, Part D, 107174.
doi: 10.1016/j.engappai.2023.107174 |
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Notas
| Description of the project: Modeling the forward and inverse kinematics of a soft robot arm and neck using Gaussian processes.
The models are described here: Relaño, C., Muñoz, J., Monje, C. A. (2023). Gaussian process regression for forward and inverse kinematics of a soft robotic arm, Engineering Applications of Artificial Intelligence, 126 (107174), Part D, https://doi.org/10.1016/j.engappai.2023.107174. (https://www.sciencedirect.com/science/article/pii/S0952197623013581)
Methodology: Usage: Create a python environment with version Python 3.10.9. Then install the necessary libraries to run the notebooks with the command:
pip install -r requirements.txt
Run the file main.py. There you can select the GP model to use (ExactGP, AGP, DGP1, DGP2, DGP3) and the soft robot to use (arm, neck). |
