Project page from learning augmented Joint Space Task Oriented Dynamical Systems (JT-DS) project.
This project is maintained by nbfigueroa
Following we list all of the code repositories made available for this project, including:
Code for Learning JT-DS in MATLAB:
https://github.com/epfl-lasa/JT-DS-Learning
Code for Executing Learned JT-DS models in C++:
https://github.com/epfl-lasa/JT-DS-lib
Code for Executing Learned DS models in ROS/Robot-Toolkit for a KUKA-LWR 4+:
https://github.com/epfl-lasa/rtk_JT-DS
[1] Yonadav Shavit, Figueroa, N., Mirrazavi Salehian, S. S. and Billard, A. (2018) Learning Augmented Joint-Space Task-Oriented Dynamical Systems: A Linear Parameter Varying and Synergetic Control Approach. IEEE Robotics and Automation Letters (RA-L). link
Nadia Figueroa (nadia.figueroafernandez AT epfl dot ch)
This work was supported by the EU project Cogimon H2020-ICT-23-2014.