Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection

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. author (author), Wu, Hongmin. author, Rojas, Juan. author, Xu, Zhihao. author, Li, Shuai. author
Format: eBook
Language:Inglés
Published: Singapore : Springer Nature 2020
2020.
Edition:1st ed. 2020.
Subjects:
Robotics.
Automation.
Statistics .
Control engineering.
Mechatronics.
Machine learning.
Mathematical models.
Robotics and Automation.
Bayesian Inference.
Control, Robotics, Mechatronics.
Machine Learning.
Mathematical Modeling and Industrial Mathematics.
Robotics and Automation
Bayesian Inference
Control, Robotics, Mechatronics
Machine Learning
Mathematical Modeling and Industrial Mathematics
Robotic Engineering
Control, Robotics, Automation
Collaborative Robot Introspection
Nonparametric Bayesian Inference
Anomaly Monitoring and Diagnosis
Multimodal Perception
Anomaly Recovery
Human-robot Collaboration
Robot Safety and Protection
Hidden Markov Model
Robot Autonomous Manipulation
open access
Robotics
Bayesian inference
Automatic control engineering
Electronic devices & materials
Machine learning
Mathematical modelling
Maths for engineers
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009428423206719
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.

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