Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection

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. In robotics, the ability to reason, solve their...

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Bibliographic Details
Main Authors: Zhou, Xuefeng, Wu, Hongmin (Author), Rojas, Juan (Author), Xu, Zhihao (Author)
Format: eBook
Published: Singapore Springer Nature Singapore 2020, 2020
Edition:1st ed. 2020
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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