Symbolic-Based Recognition of Contact States for Learning Assembly Skills

Symbolic-Based Recognition of Contact States for Learning Assembly Skills

Imitation learning is gaining more attention because it enables robots to learn skills from human demonstrations. One of the major industrial activities that can benefit from imitation learning is the learning of new assembly processes. An essential characteristic of an assembly skill is its differe...

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Bibliographic Details
Main Authors: Ali Al-Yacoub, Yuchen Zhao, Niels Lohse, Mey Goh, Peter Kinnell, Pedro Ferreira, Ella-Mae Hubbard
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Robotics and AI
Subjects:
symbolic representation
imitation learning
feature transformation
Piecewise Aggregate Approximation (PAA)
K-means
Hidden Markov Model (HMM)
Online Access:https://www.frontiersin.org/article/10.3389/frobt.2019.00099/full

Internet

https://www.frontiersin.org/article/10.3389/frobt.2019.00099/full

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