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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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Guardat en:
Autors principals: Zhou, Xuefeng, Wu, Hongmin, Rojas, Juan, Xu, Zhihao, Li, Shuai
Format: Online
Idioma:anglès
Publicat: Springer Nature 2021
Matèries:
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering::TJFM1 Robotics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
Accés en línia:ONIX_20200813_9789811562631_42
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