PbDLib is a set of tools combining statistical learning, dynamical systems and optimal control approaches for programming-by-demonstration applications. The Matlab/GNU Octave version is currently maintained by Sylvain Calinon, Idiap Research Institute, http://idiap.ch/~scalinon/, http://calinon.ch.

PbDlib is a set of tools combining statistical learning, dynamical systems and optimal control approaches for programming-by-demonstration applications, http://www.idiap.ch/software/pbdlib/.

The Matlab/GNU Octave version is currently maintained by Sylvain Calinon, Idiap Research Institute.

A C++ version of the library (with currently fewer functionalities) is available at https://gitlab.idiap.ch/rli/pbdlib

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### References

Did you find PbDLib useful for your research? Please acknowledge the authors in any academic publications that used some parts of these codes.

Did you find PbDLib useful for your research? Please acknowledge the authors in any academic publications that used parts of these codes.

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@article{Calinon15,

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The folder "data" contains a dataset of 2D handwriting movements from LASA-EPFL (http://lasa.epfl.ch), collected within the context of the AMARSI European Project. Reference: S.M. Khansari-Zadeh and A. Billard, "Learning Stable Non-Linear Dynamical Systems with Gaussian Mixture Models", IEEE Transaction on Robotics, 2011.

### License

Copyright (c) 2015 Idiap Research Institute, http://idiap.ch/

Written by Sylvain Calinon, http://calinon.ch/

PbDlib is free software: you can redistribute it and/or modify

it under the terms of the GNU General Public License version 3 as

published by the Free Software Foundation.

PbDlib is distributed in the hope that it will be useful,

but WITHOUT ANY WARRANTY; without even the implied warranty of

MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the

GNU General Public License for more details.

You should have received a copy of the GNU General Public License

along with PbDlib. If not, see <http://www.gnu.org/licenses/>.

### List of examples

All the examples are located in the main folder, and the functions are located in the `m_fcts` folder.