Commit 4522d23a authored by Sylvain Calinon's avatar Sylvain Calinon
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Use of a common 2D handwriting movement dataset in all examples

parent 37aaafb8
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PbDlib is a set of tools combining statistical learning, dynamical systems and optimal control approaches for programming-by-demonstration applications (see http://www.idiap.ch/software/pbdlib/ for details).
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
### Compatibility
The codes are compatible with both Matlab and GNU Octave.
### Usage
Examples starting with `demo_` can be run from Matlab/GNU Octave.
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
### References
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### Dataset
### Compatibility
The codes are compatible with both Matlab and GNU Octave.
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.
### Usage
Examples starting with `demo_` can be run from Matlab/GNU Octave.
### License
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