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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection [[electronic resource] /] / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
| Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection [[electronic resource] /] / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li |
| Autore | Zhou Xuefeng |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XVII, 137 p. 50 illus., 44 illus. in color.) |
| Disciplina | 629.892 |
| Soggetto topico |
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 |
| Soggetto non controllato |
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 |
| ISBN | 981-15-6263-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910416119103321 |
Zhou Xuefeng
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| Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection [[electronic resource] /] / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
| Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection [[electronic resource] /] / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li |
| Autore | Zhou Xuefeng |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XVII, 137 p. 50 illus., 44 illus. in color.) |
| Disciplina | 629.892 |
| Soggetto topico |
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 |
| Soggetto non controllato |
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 |
| ISBN | 981-15-6263-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996418268803316 |
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Zhou Xuefeng
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| Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Part 1.: New General Trends and Advances of the Theory / Alexey N. Karapetyants, ... [et al.] editors
| Part 1.: New General Trends and Advances of the Theory / Alexey N. Karapetyants, ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xv, 584 p. : ill. ; 24 cm |
| Soggetto non controllato |
Approximation theory
Bioinformatics Complex and Hypercomplex Analysis Differential equations Functional Analysis Geometric function theory Harmonic Analysis: Methods of Real and Complex variable Hausdorff operators Mathematical modelling Mathematical physics Operator theory Probability-Analytical Models Variable exponent analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275090 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Part 2.: Probability-Analytical Models, Methods and Applications / Alexey N. Karapetyants, Igor V. Pavlov, Albert N. Shiryaev editors
| Part 2.: Probability-Analytical Models, Methods and Applications / Alexey N. Karapetyants, Igor V. Pavlov, Albert N. Shiryaev editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | viii, 418 p. : ill. ; 24 cm |
| Soggetto non controllato |
Approximation theory
Bioinformatics Complex and Hypercomplex Analysis Differential equations Functional Analysis Geometric function theory Harmonic Analysis: Methods of Real and Complex variable Hausdorff operators Mathematical modelling Mathematical physics Operator theory Probability-Analytical Models Variable exponent analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275091 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Progress in Industrial Mathematics: Success Stories : The Industry and the Academia Points of View / Manuel Cruz, Carlos Parés, Peregrina Quintela editors
| Progress in Industrial Mathematics: Success Stories : The Industry and the Academia Points of View / Manuel Cruz, Carlos Parés, Peregrina Quintela editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvii, 249 p. : ill. ; 24 cm |
| Soggetto non controllato |
Applied Mathematics
Industrial mathematics Mathematical modelling Operational Research Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275134 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Singular phenomena and scaling in mathematical models / Michael Griebel editor
| Singular phenomena and scaling in mathematical models / Michael Griebel editor |
| Pubbl/distr/stampa | Cham, : Springer, 2014 |
| Descrizione fisica | VIII, 434 p. : ill. ; 24 cm |
| Soggetto topico |
60J60 - Diffusion processes [MSC 2020]
65Zxx - Applications to the sciences [MSC 2020] 26A30 - Singular functions, Cantor functions, functions with other special properties [MSC 2020] 35B65 - Smoothness and regularity of solutions to PDEs [MSC 2020] 35A20 - Analyticity in context of PDEs [MSC 2020] 65N12 - Stability and convergence of numerical methods for boundary value problems involving PDEs [MSC 2020] |
| Soggetto non controllato |
Mathematical modelling
Multiscale methods Numerics Scaling Limits Singular phenomena |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0103154 |
| Cham, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Step into the World of Mathematics : Math Is Beautiful and Belongs to All of Us / Samuli Siltanen ; Translated by Lauri Snellman
| Step into the World of Mathematics : Math Is Beautiful and Belongs to All of Us / Samuli Siltanen ; Translated by Lauri Snellman |
| Autore | Siltanen, Samuli |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xii, 116 p. : ill. ; 24 cm |
| Soggetto non controllato |
Algorithm
Artificial Intelligence Mathematical modelling Mathematics Medical Imaging Popular science Scientific computation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0275302 |
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Siltanen, Samuli
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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The Dynamics of Biological Systems / Arianna Bianchi … [et al.] editors]
| The Dynamics of Biological Systems / Arianna Bianchi … [et al.] editors] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xiv, 267 p. : ill. ; 24 cm |
| Soggetto topico |
37N25 - Dynamical systems in biology [MSC 2020]
92Bxx - Mathematical biology in general [MSC 2020] 92Cxx - Physiological, cellular and medical topics [MSC 2020] 92Dxx - Genetics and population dynamics [MSC 2020] 92E10 - Molecular structure (graph-theoretic methods, methods of differential topology, etc.) [MSC 2020] 35Q92 - PDEs in connection with biology, chemistry and other natural sciences [MSC 2020] |
| Soggetto non controllato |
(Stochastic) Population Models
Applications of PDEs to Biology Biochemical Networks Biological Networks Dynamical systems Epidemic models Kinetic-Transport Equations Mathematical biology Mathematical modelling Pattern Formation Reaction-diffusion equations Systems biology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127203 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells : Selected Works from the 20th BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2020 / Rubem P. Mondaini editor
| Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells : Selected Works from the 20th BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2020 / Rubem P. Mondaini editor |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xi, 395 p. : ill. ; 24 cm |
| Soggetto non controllato |
Agent-based model
BCL2 BIOMAT Consortium BIOMAT Lectures COVID-19 Cell proliferation model Computational Modelling Coronavirus Ebola HPV Hepatitis B virus infection Human papillomavirus Lotka-Volterra biological model Macroalgae-borne pathogen Mathematical modelling Michaelis-Menten functional response Phytoplankton-zooplankton interaction model Predator-prey system SLIR model replicator systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275376 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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UK success stories in industrial mathematics / Philip J. Aston, Anthony J. Mulholland, Katherine M. M. Tant editors
| UK success stories in industrial mathematics / Philip J. Aston, Anthony J. Mulholland, Katherine M. M. Tant editors |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | XIV, 303 p. : ill. ; 24 cm |
| Soggetto topico | 00A71 - General theory of mathematical modeling [MSC 2020] |
| Soggetto non controllato |
Applied Mathematics
Impact of Mathematics Industrial mathematics Mathematical modelling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115474 |
| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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