Following we list all of the code repositories made available for this project, including:
Code for Executing Learned DS models in C++:
Code for Executing Learned DS models in ROS:
Code for Executing the Experimental Tasks on a KUKA-LWR 4+/Gazebo (in ROS):
 Figueroa, N. and Billard, A. (2018) “A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning”. In Proceedings of the 2nd Conference on Robot Learning (CoRL).
Nadia Figueroa (nadia.figueroafernandez AT epfl dot ch)
This work was supported by the EU project Cogimon H2020-ICT-23-2014.