top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
AI based Robot Safe Learning and Control [[electronic resource] /] / by Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv
AI based Robot Safe Learning and Control [[electronic resource] /] / by Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv
Autore Zhou Xuefeng
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore, : Springer Nature, 2020
Descrizione fisica 1 online resource (XVII, 127 p. 42 illus., 35 illus. in color.)
Disciplina 629.892
Soggetto topico Robotics
Automation
Control engineering
Artificial intelligence
Robotics and Automation
Control and Systems Theory
Artificial Intelligence
Soggetto non controllato Robotics and Automation
Control and Systems Theory
Artificial Intelligence
Robotic Engineering
Safe Control
Deep Reinforcement Learning
Recurrent Neural Network
Force Control
Obstacle Ovoidance
Adaptive Control
Trajectory Tracking
Open Access
Robotics
Automatic control engineering
Artificial intelligence
ISBN 981-15-5503-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Adaptive Jacobian based Trajectory Tracking for Redundant Manipulators with Model Uncertainties in Repetitive Tasks -- RNN based Trajectory Control for Manipulators with Uncertain Kinematic Parameters -- RNN Based Adaptive Compliance Control for Robots with Model Uncertainties -- Deep RNN based Obstacle Avoidance Control for Redundant Manipulators .
Record Nr. UNINA-9910404223103321
Zhou Xuefeng  
Singapore, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Annals of Scientific Society for Assembly, Handling and Industrial Robotics [[electronic resource] /] / edited by Thorsten Schüppstuhl, Kirsten Tracht, Dominik Henrich
Annals of Scientific Society for Assembly, Handling and Industrial Robotics [[electronic resource] /] / edited by Thorsten Schüppstuhl, Kirsten Tracht, Dominik Henrich
Autore Schüppstuhl Thorsten
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (VII, 344 p.)
Disciplina 629.892
Soggetto topico Robotics
Automation
Manufactures
Engineering design
Computer simulation
Machinery
Robotics and Automation
Manufacturing, Machines, Tools, Processes
Engineering Design
Simulation and Modeling
Machinery and Machine Elements
Soggetto non controllato Robotics and Automation
Manufacturing, Machines, Tools, Processes
Engineering Design
Simulation and Modeling
Machinery and Machine Elements
Control, Robotics, Automation
Machines, Tools, Processes
Computer Science
Open Access
Assembly Processes & Systems
Handling & Grasping
Modelling & Simulation
Human-robot-collaboration
Industrial Robotics
Robotics
Production engineering
Technical design
Computer modelling & simulation
Engines & power transmission
ISBN 3-662-61755-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Assembly Processes and Systems -- Handling & Grasping -- Modelling & Simulation.
Record Nr. UNINA-9910416119203321
Schüppstuhl Thorsten  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital Transformation in Semiconductor Manufacturing [[electronic resource] ] : Proceedings of the 1st and 2nd European Advances in Digital Transformation Conference, EADTC 2018, Zittau, Germany and EADTC 2019, Milan, Italy / / edited by Sophia Keil, Rainer Lasch, Fabian Lindner, Jacob Lohmer
Digital Transformation in Semiconductor Manufacturing [[electronic resource] ] : Proceedings of the 1st and 2nd European Advances in Digital Transformation Conference, EADTC 2018, Zittau, Germany and EADTC 2019, Milan, Italy / / edited by Sophia Keil, Rainer Lasch, Fabian Lindner, Jacob Lohmer
Autore Keil Sophia
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (VIII, 146 p. 64 illus., 50 illus. in color.)
Disciplina 621.38
Collana Lecture Notes in Electrical Engineering
Soggetto topico Computer engineering
Internet of things
Embedded computer systems
Engineering economics
Engineering economy
Robotics
Automation
Cyber-physical systems, IoT
Engineering Economics, Organization, Logistics, Marketing
Robotics and Automation
Soggetto non controllato Cyber-physical systems, IoT
Engineering Economics, Organization, Logistics, Marketing
Robotics and Automation
Cyber-Physical Systems
Industrial Management
Industrial Automation
Open Access
Semantic Web Technologies
Simulation-based Decision Making
Cycle Time Modeling
Automated Material Handling system
Material Flow Simulation
Digitalized Workplaces
Automated Decision-making
Cross Factory Decision-making
Mixed Criticality Systems
Digital twin
Rapid Prototyping
System dynamic simulation
Return on quality
iDev40
EADTC 2018
EADTC 2019
Electrical engineering
Cybernetics & systems theory
Engineering: general
Management of specific areas
Robotics
ISBN 3-030-48602-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A holistic digital twin based on Semantic Web technologies to accelerate digitalization -- Framework for Simulation-based Decision Making in Semiconductor Value Chains -- Digital Twin for Plan and Make Using Semantic Web Technologies – Extending the JESSI/SEMATECH MIMAC Standard to the Digital Reference -- Enhancing Prediction Quality of Fab Simulation by advanced Cycle Time modelling -- Visualization of Automated Material Handling System Components in Semiconductor Industry over the Lifecycle .
Record Nr. UNINA-9910403763803321
Keil Sophia  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to robotics / / Tadej Bajd, Matjaz Mihelj, Marko Munih
Introduction to robotics / / Tadej Bajd, Matjaz Mihelj, Marko Munih
Autore Bajd Tadej
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Dordrecht, Netherlands : , : Springer, , 2013
Descrizione fisica 1 online resource (vii, 83 pages) : illustrations
Disciplina 629.892
Collana SpringerBriefs in Applied Sciences and Technology
Soggetto topico Robotics
Robots
Soggetto non controllato Engineering
Mechanical engineering
Computer engineering
Robotics and Automation
Electrical engineering
ISBN 94-007-6101-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Introduction -- 2 Rotation and Orientation -- 3  Pose and Displacement -- 4 Geometric Robot Model -- 5 Geometric Model of Anthropomorphic Robot with Spherical Wrist -- Index.
Record Nr. UNINA-9910437903603321
Bajd Tadej  
Dordrecht, Netherlands : , : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Marine Robot Autonomy [[electronic resource] /] / edited by Mae L. Seto
Marine Robot Autonomy [[electronic resource] /] / edited by Mae L. Seto
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (389 p.)
Disciplina 623.82/7
629.892
Soggetto topico Robotics
Automation
Control engineering
Mechatronics
Automotive engineering
Robotics and Automation
Control, Robotics, Mechatronics
Automotive Engineering
Soggetto non controllato Engineering
Robotics and Automation
Control, Robotics, Mechatronics
Automotive Engineering
ISBN 1-4614-5659-2
1-283-93425-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Autonomy for Marine Robots -- Autonomy for Unmanned Marine Vehicles with MOOS-IvP -- Towards Deliberative Control in Marine Robotics -- Path Planning for Autonomous Underwater Vehicles -- An Ontology Based Approach to Fault Tolerant Mission Execution for Autonomous      Platforms -- Cooperation Between Underwater Vehicles -- Behaviour Adaptation by Means of Reinforcement Learning -- Simultaneous Localization and Mapping in Marine Environments.
Record Nr. UNINA-9910437883703321
New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Zhou Xuefeng  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Proceedings of the 2020 DigitalFUTURES : The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020) / / editors, Philip F. Yuan [et al.]
Proceedings of the 2020 DigitalFUTURES : The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020) / / editors, Philip F. Yuan [et al.]
Autore Yuan Philip F
Edizione [1st edition 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XI, 322 p. 281 illus., 231 illus. in color.)
Disciplina 629.892
Soggetto topico Artificial intelligence
Automation
Computer simulation
Computer-aided engineering
Robotics
Soggetto non controllato Robotics and Automation
Computer-Aided Engineering (CAD, CAE) and Design
Simulation and Modeling
Robotics
Control, Robotics, Automation
Computer Science
Post-humanist Intelligence
Computational Design
Robotic Fabrication
Human-Machine Collaboration
AI in Architecture
Open Access
Computer-aided design (CAD)
Computer modelling & simulation
Artificial intelligence
ISBN 981-334-400-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine Thinking -- Digital Design History and Theory -- Philosophy of Technology -- Machine Seeing -- Data Gathering -- Simulation Technique -- Interactive Environment -- Machine Learning -- Generative Morphology -- Design Neural Networks -- AI Design -- Machine Making -- Automated Fabrication -- Robotics -- Human-Machine Collaboration.
Record Nr. UNINA-9910473447003321
Yuan Philip F  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui