Long Time Sequential Task Learning From Unstructured Demonstrations

Long Time Sequential Task Learning From Unstructured Demonstrations

Learning from demonstration (LfD), which provides a natural way to transfer skills to robots, has been extensively researched for decades, and an army of methods and applications have been developed and investigated for learning an individual or low-level task. Nevertheless, learning long time seque...

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Bibliographic Details
Main Authors: Huiwen Zhang, Yuwang Liu, Weijia Zhou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bayesian segmentation
imitation learning
KL divergence
movement primitives
mixture model
Online Access:https://ieeexplore.ieee.org/document/8770237/

Internet

https://ieeexplore.ieee.org/document/8770237/

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