Robot Inference Library (robInfLib) provides various demos of using Kernelized Movement Primitives,
which is maintained by Dr. Yanlong Huang (University of Leeds)
Part of the codes are provided by Dr. João Silvério, Dr. Fares J. Abu-Dakka and Dr. Sylvain Calinon,
which have been acknowledged in the corresponding files.
KERNELIZED MOVEMENT PRIMITIVES I (demo_KMP01.m, ref. [1])
**Model letters 'G' using GMM/GMR**
**Trajectory adaptation by using KMP (mean)**
KERNELIZED MOVEMENT PRIMITIVES II (demo_KMP02.m, ref. [2])
**Model letters 'B' using GMM/GMR**
**Trajectory adaptation by using KMP (mean and covariance)**
ORIENTATION KERNELIZED MOVEMENT PRIMITIVES (demo_KMP_orientation.m, ref. [3])
**Demonstrated quaternions and angular velocities**
**Adaptation by using orientation-KMP**
UNCERTAINTY-AWARE KERNELIZED MOVEMENT PRIMITIVES (demo_KMP_uncertainty.m, ref. [4])
**Covariance and uncertainty prediction by using KMP while considering adaptations**
@InProceedings{Huang19ICRA_1,
Title = {Non-parametric Imitation Learning of Robot Motor Skills},
Author = {Huang, Y. and Rozo, L. and Silv\'erio, J. and Caldwell, D. G.},
Booktitle = {Proc. {IEEE} International Conference on Robotics and Automation ({ICRA})},
Year = {2019},
Address = {Montreal, Canada},
Month = {May},
Pages = {5266--5272}
}
[Link to publication] [Link to video]
@Article{Huang19IJRR,
Title = {Kernelized Movement Primitives},
Author = {Huang, Y. and Rozo, L. and Silv\'erio, J. and Caldwell, D. G.},
Journal = {International Journal of Robotics Research},
Year = {2019},
Volume={38},
Number={7},
Pages = {833--852},
}
[Link to publication] [Link to video]
@InProceedings{Huang19ICRA_2,
Title = {Generalized Orientation Learning in Robot Task Space},
Author = {Huang, Y. and Abu-Dakka, F. and Silv\'erio, J. and Caldwell, D. G.},
Booktitle = {Proc. {IEEE} International Conference on Robotics and Automation ({ICRA})},
Year = {2019},
Address = {Montreal, Canada},
Month = {May},
Pages = {2531--2537}
}
[Link to publication] [Link to video]
@InProceedings{silverio2019uncertainty,
Title = {Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives},
Author = {Silv\'erio, J. and Huang, Y. and Abu-Dakka, Fares J and Rozo, L. and Caldwell, D. G.},
Booktitle = {Proc. {IEEE/RSJ} International Conference on Intelligent Robots and Systems ({IROS})},
Year = {2019},
Pages={90--97}
}