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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection

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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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Détails bibliographiques
Auteur principal: Zhou, Xuefeng (auth)
Autres auteurs: Wu, Hongmin (auth), Rojas, Juan (auth), Xu, Zhihao (auth), Li, Shuai (auth)
Format: Électronique Chapitre de livre
Langue:anglais
Publié: Springer Nature 2020
Sujets:
Robotics
Bayesian inference
Automatic control engineering
Machine learning
Mathematical modelling
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
Electronic devices & materials
Maths for engineers
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