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yanlongtu/robInfLib-matlab: Kernelized Movement Primitives (KMP)

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

yanlongtu/robInfLib-matlab

开源软件地址(OpenSource Url):

https://github.com/yanlongtu/robInfLib-matlab

开源编程语言(OpenSource Language):

Jupyter Notebook 94.0%

开源软件介绍(OpenSource Introduction):

robInfLib-matlab

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.

DEMOS ILLUSTRATIONS

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**

REFERENCE

[1] KMP: learning and adaptation

[Link to publication]

@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}
}

[2] KMP: learning, adaptation, superposition and extrapolaton.

[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},
}

[3] KMP orientation: learning and adaptation

[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}
 }

[4] Uncertainty-aware KMP: uncertainty/covariance prediction and adaptation

[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}
}



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