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...
| Main Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2020, 2020
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| Edition: | 1st ed. 2020 |
| Subjects: | |
| 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