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Human-Robot interaction : control, analysis, and design / / Dan Zhang; Bin Wei
| Human-Robot interaction : control, analysis, and design / / Dan Zhang; Bin Wei |
| Pubbl/distr/stampa | Newcastle-upon-Tyne, United Kingdom : , : Cambridge Scholars Publisher, , [2020] |
| Descrizione fisica | 1 online resource (208 pages) : illustrations |
| Disciplina | 629.8924019 |
| Soggetto topico |
Manufacturing industries
Artificial intelligence Human-robot interaction |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-5275-5829-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910493239903321 |
| Newcastle-upon-Tyne, United Kingdom : , : Cambridge Scholars Publisher, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Human-Robot interaction : control, analysis, and design / / Dan Zhang; Bin Wei
| Human-Robot interaction : control, analysis, and design / / Dan Zhang; Bin Wei |
| Pubbl/distr/stampa | Newcastle-upon-Tyne, United Kingdom : , : Cambridge Scholars Publisher, , [2020] |
| Descrizione fisica | 1 online resource (208 pages) : illustrations |
| Disciplina | 629.8924019 |
| Soggetto topico |
Manufacturing industries
Artificial intelligence Human-robot interaction |
| ISBN | 1-5275-5829-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910794347703321 |
| Newcastle-upon-Tyne, United Kingdom : , : Cambridge Scholars Publisher, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Human-Robot interaction : control, analysis, and design / / Dan Zhang; Bin Wei
| Human-Robot interaction : control, analysis, and design / / Dan Zhang; Bin Wei |
| Pubbl/distr/stampa | Newcastle-upon-Tyne, United Kingdom : , : Cambridge Scholars Publisher, , [2020] |
| Descrizione fisica | 1 online resource (208 pages) : illustrations |
| Disciplina | 629.8924019 |
| Soggetto topico |
Manufacturing industries
Artificial intelligence Human-robot interaction |
| ISBN | 1-5275-5829-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910823035003321 |
| Newcastle-upon-Tyne, United Kingdom : , : Cambridge Scholars Publisher, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Human-robot interaction : theory and application / / edited by Gholamreza Anbarjafari and Sergio Escalera
| Human-robot interaction : theory and application / / edited by Gholamreza Anbarjafari and Sergio Escalera |
| Pubbl/distr/stampa | London, England : , : IntechOpen, , [2018] |
| Descrizione fisica | 1 online resource (184 pages) : illustrations |
| Disciplina | 629.8924019 |
| Soggetto topico | Human-robot interaction |
| ISBN |
1-83881-291-1
1-78923-317-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Human-robot interaction |
| Record Nr. | UNINA-9910317809103321 |
| London, England : , : IntechOpen, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Human-robot interaction control using reinforcement learning / / Wen Yu, Adolfo Perrusquia
| Human-robot interaction control using reinforcement learning / / Wen Yu, Adolfo Perrusquia |
| Autore | Yu Wen (Robotics engineer) |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2022] |
| Descrizione fisica | 1 online resource (289 pages) |
| Disciplina | 629.8924019 |
| Collana | IEEE Press series on systems science and engineering |
| Soggetto topico | Human-robot interaction |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-78276-7
1-119-78277-5 1-119-78275-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- Author Biographies -- List of Figures -- List of Tables -- Preface -- Part I Human‐robot Interaction Control -- Chapter 1 Introduction -- 1.1 Human‐Robot Interaction Control -- 1.2 Reinforcement Learning for Control -- 1.3 Structure of the Book -- References -- Chapter 2 Environment Model of Human‐Robot Interaction -- 2.1 Impedance and Admittance -- 2.2 Impedance Model for Human‐Robot Interaction -- 2.3 Identification of Human‐Robot Interaction Model -- 2.4 Conclusions -- References -- Chapter 3 Model Based Human‐Robot Interaction Control -- 3.1 Task Space Impedance/Admittance Control -- 3.2 Joint Space Impedance Control -- 3.3 Accuracy and Robustness -- 3.4 Simulations -- 3.5 Conclusions -- References -- Chapter 4 Model Free Human‐Robot Interaction Control -- 4.1 Task‐Space Control Using Joint‐Space Dynamics -- 4.2 Task‐Space Control Using Task‐Space Dynamics -- 4.3 Joint Space Control -- 4.4 Simulations -- 4.5 Experiments -- 4.6 Conclusions -- References -- Chapter 5 Human‐in‐the‐loop Control Using Euler Angles -- 5.1 Introduction -- 5.2 Joint‐Space Control -- 5.3 Task‐Space Control -- 5.4 Experiments -- 5.5 Conclusions -- References -- Part II Reinforcement Learning for Robot Interaction Control -- Chapter 6 Reinforcement Learning for Robot Position/Force Control -- 6.1 Introduction -- 6.2 Position/Force Control Using an Impedance Model -- 6.3 Reinforcement Learning Based Position/Force Control -- 6.4 Simulations and Experiments -- 6.5 Conclusions -- References -- Chapter 7 Continuous‐Time Reinforcement Learning for Force Control -- 7.1 Introduction -- 7.2 K‐means Clustering for Reinforcement Learning -- 7.3 Position/Force Control Using Reinforcement Learning -- 7.4 Experiments -- 7.5 Conclusions -- References -- Chapter 8 Robot Control in Worst‐Case Uncertainty Using Reinforcement Learning.
8.1 Introduction -- 8.2 Robust Control Using Discrete‐Time Reinforcement Learning -- 8.3 Double Q‐Learning with k‐Nearest Neighbors -- 8.4 Robust Control Using Continuous‐Time Reinforcement Learning -- 8.5 Simulations and Experiments: Discrete‐Time Case -- 8.6 Simulations and Experiments: Continuous‐Time Case -- 8.7 Conclusions -- References -- Chapter 9 Redundant Robots Control Using Multi‐Agent Reinforcement Learning -- 9.1 Introduction -- 9.2 Redundant Robot Control -- 9.3 Multi‐Agent Reinforcement Learning for Redundant Robot Control -- 9.4 Simulations and experiments -- 9.5 Conclusions -- References -- Chapter 10 Robot ℋ2 Neural Control Using Reinforcement Learning -- 10.1 Introduction -- 10.2 ℋ2 Neural Control Using Discrete‐Time Reinforcement Learning -- 10.3 ℋ2 Neural Control in Continuous Time -- 10.4 Examples -- 10.5 Conclusion -- References -- Chapter 11 Conclusions -- A Robot Kinematics and Dynamics -- A.1 Kinematics -- A.2 Dynamics -- A.3 Examples -- References -- B Reinforcement Learning for Control -- B.1 Markov decision processes -- B.2 Value functions -- B.3 Iterations -- B.4 TD learning -- Reference -- Index -- EULA. |
| Record Nr. | UNINA-9910555251603321 |
Yu Wen (Robotics engineer)
|
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| Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Human-robot interaction control using reinforcement learning / / Wen Yu, Adolfo Perrusquia
| Human-robot interaction control using reinforcement learning / / Wen Yu, Adolfo Perrusquia |
| Autore | Yu Wen (Robotics engineer) |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2022] |
| Descrizione fisica | 1 online resource (289 pages) |
| Disciplina | 629.8924019 |
| Collana | IEEE Press series on systems science and engineering |
| Soggetto topico | Human-robot interaction |
| ISBN |
1-119-78276-7
1-119-78277-5 1-119-78275-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- Author Biographies -- List of Figures -- List of Tables -- Preface -- Part I Human‐robot Interaction Control -- Chapter 1 Introduction -- 1.1 Human‐Robot Interaction Control -- 1.2 Reinforcement Learning for Control -- 1.3 Structure of the Book -- References -- Chapter 2 Environment Model of Human‐Robot Interaction -- 2.1 Impedance and Admittance -- 2.2 Impedance Model for Human‐Robot Interaction -- 2.3 Identification of Human‐Robot Interaction Model -- 2.4 Conclusions -- References -- Chapter 3 Model Based Human‐Robot Interaction Control -- 3.1 Task Space Impedance/Admittance Control -- 3.2 Joint Space Impedance Control -- 3.3 Accuracy and Robustness -- 3.4 Simulations -- 3.5 Conclusions -- References -- Chapter 4 Model Free Human‐Robot Interaction Control -- 4.1 Task‐Space Control Using Joint‐Space Dynamics -- 4.2 Task‐Space Control Using Task‐Space Dynamics -- 4.3 Joint Space Control -- 4.4 Simulations -- 4.5 Experiments -- 4.6 Conclusions -- References -- Chapter 5 Human‐in‐the‐loop Control Using Euler Angles -- 5.1 Introduction -- 5.2 Joint‐Space Control -- 5.3 Task‐Space Control -- 5.4 Experiments -- 5.5 Conclusions -- References -- Part II Reinforcement Learning for Robot Interaction Control -- Chapter 6 Reinforcement Learning for Robot Position/Force Control -- 6.1 Introduction -- 6.2 Position/Force Control Using an Impedance Model -- 6.3 Reinforcement Learning Based Position/Force Control -- 6.4 Simulations and Experiments -- 6.5 Conclusions -- References -- Chapter 7 Continuous‐Time Reinforcement Learning for Force Control -- 7.1 Introduction -- 7.2 K‐means Clustering for Reinforcement Learning -- 7.3 Position/Force Control Using Reinforcement Learning -- 7.4 Experiments -- 7.5 Conclusions -- References -- Chapter 8 Robot Control in Worst‐Case Uncertainty Using Reinforcement Learning.
8.1 Introduction -- 8.2 Robust Control Using Discrete‐Time Reinforcement Learning -- 8.3 Double Q‐Learning with k‐Nearest Neighbors -- 8.4 Robust Control Using Continuous‐Time Reinforcement Learning -- 8.5 Simulations and Experiments: Discrete‐Time Case -- 8.6 Simulations and Experiments: Continuous‐Time Case -- 8.7 Conclusions -- References -- Chapter 9 Redundant Robots Control Using Multi‐Agent Reinforcement Learning -- 9.1 Introduction -- 9.2 Redundant Robot Control -- 9.3 Multi‐Agent Reinforcement Learning for Redundant Robot Control -- 9.4 Simulations and experiments -- 9.5 Conclusions -- References -- Chapter 10 Robot ℋ2 Neural Control Using Reinforcement Learning -- 10.1 Introduction -- 10.2 ℋ2 Neural Control Using Discrete‐Time Reinforcement Learning -- 10.3 ℋ2 Neural Control in Continuous Time -- 10.4 Examples -- 10.5 Conclusion -- References -- Chapter 11 Conclusions -- A Robot Kinematics and Dynamics -- A.1 Kinematics -- A.2 Dynamics -- A.3 Examples -- References -- B Reinforcement Learning for Control -- B.1 Markov decision processes -- B.2 Value functions -- B.3 Iterations -- B.4 TD learning -- Reference -- Index -- EULA. |
| Record Nr. | UNINA-9910830945503321 |
|
Yu Wen (Robotics engineer)
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| Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Humanoid service robots : customer expectations and customer responses / / Moritz Merkle
| Humanoid service robots : customer expectations and customer responses / / Moritz Merkle |
| Autore | Merkle Moritz |
| Pubbl/distr/stampa | Wiesbaden, Germany : , : Springer Gabler, , [2021] |
| Descrizione fisica | 1 online resource (249 pages) |
| Disciplina | 629.892 |
| Collana | Neue Perspektiven der Marktorientierten Unternehmensführung |
| Soggetto topico |
Androids
Robotics - Human factors Human-robot interaction |
| ISBN | 3-658-34440-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Acknowledgments -- Summary -- Zusammenfassung -- Contents -- Abbreviations -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Managerial Relevance -- 1.2 Scientific Relevance -- 1.3 Goals and Research Questions -- 1.4 Structure -- 2 Conceptual Background -- 2.1 Basic Definitions -- 2.1.1 Robots -- 2.1.2 Services -- 2.1.3 Customer Expectations and Responses -- 2.2 Literature Review -- 2.2.1 Studies in the Field of Service Marketing -- 2.2.2 Studies in the Field of Human-Robot Interaction Literature -- 2.3 Theoretical Background -- 2.3.1 Theories from Information Systems and HRI Research -- 2.3.2 Theories from Psychology and Social Psychology -- 3 Method -- 3.1 Construct Measurement -- 3.1.1 Basics of Construct Measurement -- 3.1.2 Operationalization of Constructs -- 3.2 Data Analysis Methods -- 3.2.1 Analysis of Variance and Corresponding Post Hoc Tests -- 3.2.2 Multiple Regression Analysis -- 3.2.3 Polynomial Modeling and Surface Response Method -- 4 Study 1: A Service Robot Acceptance Model: Customer Acceptance of Humanoid Robots During Service Encounters -- 4.1 Introduction -- 4.2 Theoretical Background -- 4.2.1 Expectation Disconfirmation Theory -- 4.2.2 Role Theory -- 4.3 Qualitative Study on Social Robot Acceptance (Study I) -- 4.3.1 Semi-Structured Interviews -- 4.3.2 Sample and Analytical Strategy -- 4.3.3 Results -- 4.4 Testing the Social Robot Acceptance Model (Study II) -- 4.4.1 Basic Effects -- 4.4.2 Robot Anxiety as Moderator -- 4.5 Experimental Study -- 4.5.1 Experimental Setting -- 4.5.2 Experimental Design -- 4.5.3 Experimental Subjects and Confederates -- 4.5.4 Data Collection and Analysis Methods -- 4.6 Results -- 4.7 Discussion -- 4.7.1 Research Implications -- 4.7.2 Limitations and Areas of Future Research -- 5 Study 2: A Cross-Country Comparison of Attitudes toward Humanoid Service Robots.
5.1 Introduction -- 5.2 Theoretical Background -- 5.3 Hypotheses -- 5.3.1 Empathy -- 5.3.2 Reliability -- 5.3.3 Expertise -- 5.3.4 Trust -- 5.4 Empirical Basis -- 5.4.1 Data Collection -- 5.4.2 Characteristics of the Sample -- 5.5 Results -- 5.5.1 Findings for the Three Countries -- 5.5.2 Comparison of the Countries -- 5.5.3 Connection to Hofstede -- 5.6 Discussion -- 5.6.1 Research Implications -- 5.6.2 Managerial Implications -- 5.6.3 Limitations and Further Research -- 6 Study 3: Beyond the Call of Duty: The Impact of Innovative Service Behavior by Robots on Customer Delight -- 6.1 Introduction -- 6.2 Theoretical Background -- 6.2.1 Innovative Service Behavior -- 6.2.2 Expectation Disconfirmation Theory -- 6.2.3 Script Theory -- 6.3 Framework and Hypotheses -- 6.3.1 Study Framework -- 6.3.2 Hypotheses -- 6.4 Empirical Studies -- 6.4.1 Prestudy -- 6.4.2 Studies I and II: Common Experimental Setting and Method -- 6.5 Innovative Service Behavior in a Failure-Free Service Encounter (Study I) -- 6.5.1 Participants -- 6.5.2 Manipulation Check and Descriptive Statistics -- 6.5.3 Results -- 6.6 Innovative Service Behavior after a Service Failure (Study II) -- 6.6.1 Manipulation Check and Descriptive Statistics -- 6.6.2 Results -- 6.7 Discussion -- 6.7.1 Research Contribution -- 6.7.2 Managerial Implications -- 6.7.3 Research Directions -- 7 Study 4: Customer Responses to Service Robots: Comparing Human-Robot Interaction with Human-Human Interaction -- 7.1 Introduction -- 7.2 Literature -- 7.3 Conceptual Background -- 7.4 Hypotheses Development -- 7.5 Data Collection -- 7.5.1 Mechanical Basis and Manipulation Preparation -- 7.5.2 Experimental Setting -- 7.5.3 Experimental Design -- 7.6 Results -- 7.6.1 Customer Satisfaction with the Service Robot Compared to the Frontline Employee -- 7.6.2 Customer Satisfaction After a Service Failure -- 7.7 Discussion. 7.7.1 Rationale for Satisfaction with Failing Robot -- 7.7.2 Research Implications -- 7.7.3 Managerial Implications -- 7.7.4 Limitations and Areas of Future Research -- 8 Overall Discussion -- 8.1 Overall Scientific Contribution -- 8.2 Overall Managerial Contribution -- 8.3 Overall Limitations and Recommended Areas for Future Research -- References. |
| Record Nr. | UNINA-9910488712703321 |
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Merkle Moritz
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| Wiesbaden, Germany : , : Springer Gabler, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Humans and robots : ethics, agency, and anthropomorphism / / Sven Nyholm
| Humans and robots : ethics, agency, and anthropomorphism / / Sven Nyholm |
| Autore | Nyholm Sven <1981-> |
| Pubbl/distr/stampa | London ; ; New York : , : Rowman & Littlefield International, Ltd., , [2020] |
| Descrizione fisica | 1 online resource (237 pages) |
| Disciplina | 629.8924019 |
| Collana | Philosophy, Technology and Society |
| Soggetto topico | Human-robot interaction |
| ISBN | 1-78661-228-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910693697803321 |
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Nyholm Sven <1981->
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| London ; ; New York : , : Rowman & Littlefield International, Ltd., , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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ICMI '16 : proceedings of the 1st Workshop on Embodied Interaction with Smart Environments
| ICMI '16 : proceedings of the 1st Workshop on Embodied Interaction with Smart Environments |
| Pubbl/distr/stampa | New York : , : ACM, , 2016 |
| Descrizione fisica | 1 online resource (34 pages) : illustrations (some color) |
| Disciplina | 629.89 |
| Soggetto topico |
Intelligent buildings
Multimodal user interfaces (Computer systems) Interactive computer systems Human-robot interaction |
| ISBN | 1-4503-4555-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
ICMI '16 : International Conference on Multimodal Interaction : Tokyo, Japan, November 12-16, 2016
International Conference on Multimodal Interaction 2016 |
| Record Nr. | UNINA-9910376429603321 |
| New York : , : ACM, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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IEEE RO-MAN
| IEEE RO-MAN |
| Pubbl/distr/stampa | [Piscataway, NJ : , : IEEE, ], -2018 |
| Disciplina | 629.8/92 |
| Soggetto topico |
Robotics
Human-machine systems Human-robot interaction |
| Soggetto genere / forma | Conference papers and proceedings. |
| ISSN | 1944-9445 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
IEEE RO-MAN proceedings
RO-MAN .. IEEE International Symposium on Robot and Human Interactive Communication proceedings |
| Record Nr. | UNINA-9910626154503321 |
| [Piscataway, NJ : , : IEEE, ], -2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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