Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
2020 ed.
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 inferenceMathematical modellingRoboticsMachine learning
Ksh 8,100.00
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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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