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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection

2020 ed.

by Hongmin Wu , Juan Rojas , Shuai Li , Xuefeng Zhou , Zhihao Xu

Book Details

Format Hardback or Cased Book
ISBN-10 9811562628
ISBN-13 9789811562624
Edition 2020 ed.
Publisher Springer Verlag, Singapore
Imprint Springer Verlag, Singapore
Country of Manufacture GB
Country of Publication GB
Publication Date Jul 22nd, 2020
Print length 137 Pages
Product Classification: Bayesian inference Mathematical modelling Robotics Machine learning
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This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies.
Introduction to Robot Introspection.- Nonparametric Bayesian Modeling of Multimodal Time Series.- Incremental Learning Robot Complex Task Representation and Identification.- Nonparametric Bayesian Method for Robot Anomaly Monitoring.- Nonparametric Bayesian Method for Robot Anomaly Diagnose.- Learning Policy for Robot Anomaly Recovery based on Robot.

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