Coverart for item
The Resource Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection, by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li, (electronic resource)

Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection, by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li, (electronic resource)

Label
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Title
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Statement of responsibility
by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
Creator
Contributor
Author
Subject
Language
eng
Summary
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 own anomalies and proactively enrich owned knowledge is a direct way to improve autonomous behaviors. To this end, the authors start by considering the underlying pattern of multimodal observation during robot manipulation, which can effectively be modeled as a parametric hidden Markov model (HMM). They then adopt a nonparametric Bayesian approach in defining a prior using the hierarchical Dirichlet process (HDP) on the standard HMM parameters, known as the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM). The HDP-HMM can examine an HMM with an unbounded number of possible states and allows flexibility in the complexity of the learned model and the development of reliable and scalable variational inference methods. This book is a valuable reference resource for researchers and designers in the field of robot learning and multimodal perception, as well as for senior undergraduate and graduate university students.--
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Zhou, Xuefeng
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Wu, Hongmin
  • Rojas, Juan
  • Xu, Zhihao
  • Li, Shuai
Series statement
Open Access e-Books
http://library.link/vocab/subjectName
  • Robotics
  • Automation
  • Statistics
  • Control engineering
  • Mechatronics
  • Machine learning
  • Mathematical models
Label
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection, by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li, (electronic resource)
Link
https://doi.org/10.1007/978-981-15-6263-1
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
978-981-15-6263-1
Dimensions
unknown
Edition
1st ed. 2020.
Extent
1 online resource
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9789811562631
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1182513908
Label
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection, by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li, (electronic resource)
Link
https://doi.org/10.1007/978-981-15-6263-1
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
978-981-15-6263-1
Dimensions
unknown
Edition
1st ed. 2020.
Extent
1 online resource
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9789811562631
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1182513908

Library Locations

    • Badia FiesolanaBorrow it
      Via dei Roccettini 9, San Domenico di Fiesole, 50014, IT
      43.803074 11.283055
Processing Feedback ...