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ROS robotics by example : bring life to your robot using ROS robotic applications / / Carol Fairchild, Dr. Thomas L. Harman
| ROS robotics by example : bring life to your robot using ROS robotic applications / / Carol Fairchild, Dr. Thomas L. Harman |
| Autore | Fairchild Carol |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , 2016 |
| Descrizione fisica | 1 online resource (428 pages) : color illustrations |
| Collana | Community experience distilled |
| Soggetto topico |
Personal robotics
Robots - Control systems Robots - Programming Robots |
| ISBN | 1-78528-670-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910798576803321 |
Fairchild Carol
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| Birmingham : , : Packt Publishing, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
ROS robotics by example : bring life to your robot using ROS robotic applications / / Carol Fairchild, Dr. Thomas L. Harman
| ROS robotics by example : bring life to your robot using ROS robotic applications / / Carol Fairchild, Dr. Thomas L. Harman |
| Autore | Fairchild Carol |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , 2016 |
| Descrizione fisica | 1 online resource (428 pages) : color illustrations |
| Collana | Community experience distilled |
| Soggetto topico |
Personal robotics
Robots - Control systems Robots - Programming Robots |
| ISBN | 1-78528-670-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910815691303321 |
|
Fairchild Carol
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| Birmingham : , : Packt Publishing, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
ROSE '03 : 1st IEEE International Workshop on Robotic Sensing 2003 : Sensing and perception in 21st century robotics : Orebro University, Orebro, Sweden, 5-6 of June, 2003 / / organized by the Orebro University in cooperation with the IEEE Instrumentation and Measurement Society [and four others]
| ROSE '03 : 1st IEEE International Workshop on Robotic Sensing 2003 : Sensing and perception in 21st century robotics : Orebro University, Orebro, Sweden, 5-6 of June, 2003 / / organized by the Orebro University in cooperation with the IEEE Instrumentation and Measurement Society [and four others] |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2003 |
| Descrizione fisica | 1 online resource (655 pages) |
| Disciplina | 629.892 |
| Soggetto topico |
Robotics
Robots - Control systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996202933203316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Shepherding UxVs for human-swarm teaming : an artificial intelligence approach to unmanned X vehicles / / Hussein A. Abbass and Robert A. Hunjet (Editors)
| Shepherding UxVs for human-swarm teaming : an artificial intelligence approach to unmanned X vehicles / / Hussein A. Abbass and Robert A. Hunjet (Editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (339 pages) : illustrations |
| Disciplina | 006.3824 |
| Collana | Unmanned System Technologies |
| Soggetto topico |
Swarm intelligence
Robots - Control systems Multiagent systems |
| ISBN | 3-030-60898-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483904003321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulation, modeling, and programming for autonomous robots : first international conference, simpar 2008 venice, italy, november 3-7, 2008. Proceedings / / edited by Stefano Carpin, 3 others
| Simulation, modeling, and programming for autonomous robots : first international conference, simpar 2008 venice, italy, november 3-7, 2008. Proceedings / / edited by Stefano Carpin, 3 others |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | New York, New York : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (XI, 354 p.) |
| Disciplina | 629.89263 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Autonomous robots
Robots - Control systems |
| ISBN | 3-540-89076-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Simulation, Modeling and Programming for Autonomous Robots: The Open Source Perspective -- Studies on Humanlike Robots – Humanoid, Android and Geminoid -- Modeling, Understanding, and Interacting with Humans -- Humanoids, Brain and Cognitive Sciences -- Simulation -- XPERSim: A Simulator for Robot Learning by Experimentation -- From Simulated to Real Scenarios: A Framework for Multi-UAVs -- Simulation of Multi-Robot Teams with Flexible Level of Detail -- MM-ulator: Towards a Common Evaluation Platform for Mixed Mode Environments -- A Multi-agent 3D Simulation Environment for Clothing Industry -- A Lunar Surface Operations Simulator -- YARS: A Physical 3D Simulator for Evolving Controllers for Real Robots -- Programming -- A Software Platform for Component Based RT-System Development: OpenRTM-Aist -- A Software System for Robotic Learning by Experimentation -- A Mobile Robot Control Framework: From Simulation to Reality -- Implementing Flexible Parallelism for Modular Self-reconfigurable Robots -- Real-Time Software for Mobile Robot Simulation and Experimentation in Cooperative Environments -- Knowledge Processing Middleware -- Towards Automated Online Diagnosis of Robot Navigation Software -- A Common Framework for Co-operative Robotics: An Open, Fault Tolerant Architecture for Multi-league RoboCup Teams -- Multilevel Testing of Control Software for Teams of Autonomous Mobile Robots -- ppPDC Communication Framework – A New Tool for Distributed Robotics -- The Experimental Robotics Framework -- Applications -- Where Am I? A Simulated GPS Sensor for Outdoor Robotic Applications -- An Emphatic Humanoid Robot with Emotional Latent Semantic Behavior -- Developing Robot Motions by Simulated Touch Sensors -- 3D Simulation of a Motorized Operation Microscope -- Real-Time Least-Square Fitting of Ellipses Applied to the RobotCub Platform -- An Introduction to a New Commentator for RoboCup 3D Soccer Simulation -- Authority Sharing in a Swarm of UAVs: Simulation and Experiments with Operators -- Rescue Robot Navigation: Static Stability Estimation in Random Step Environment -- Performance Evaluation of Repeated Auctions for Robust Task Execution -- Conceptual Framework to Maintain Multiple and Floating Relationship among Coordinate Reference Systems for Robotics -- Conceptual Design of a Power Distribution Line Maintenance Robot Using a Developed CG Simulator and Experimental Robot System. |
| Altri titoli varianti | SIMPAR 2008 |
| Record Nr. | UNINA-9910483845303321 |
| New York, New York : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulation, modeling, and programming for autonomous robots : first international conference, simpar 2008 venice, italy, november 3-7, 2008. Proceedings / / edited by Stefano Carpin, 3 others
| Simulation, modeling, and programming for autonomous robots : first international conference, simpar 2008 venice, italy, november 3-7, 2008. Proceedings / / edited by Stefano Carpin, 3 others |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | New York, New York : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (XI, 354 p.) |
| Disciplina | 629.89263 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Autonomous robots
Robots - Control systems |
| ISBN | 3-540-89076-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Simulation, Modeling and Programming for Autonomous Robots: The Open Source Perspective -- Studies on Humanlike Robots – Humanoid, Android and Geminoid -- Modeling, Understanding, and Interacting with Humans -- Humanoids, Brain and Cognitive Sciences -- Simulation -- XPERSim: A Simulator for Robot Learning by Experimentation -- From Simulated to Real Scenarios: A Framework for Multi-UAVs -- Simulation of Multi-Robot Teams with Flexible Level of Detail -- MM-ulator: Towards a Common Evaluation Platform for Mixed Mode Environments -- A Multi-agent 3D Simulation Environment for Clothing Industry -- A Lunar Surface Operations Simulator -- YARS: A Physical 3D Simulator for Evolving Controllers for Real Robots -- Programming -- A Software Platform for Component Based RT-System Development: OpenRTM-Aist -- A Software System for Robotic Learning by Experimentation -- A Mobile Robot Control Framework: From Simulation to Reality -- Implementing Flexible Parallelism for Modular Self-reconfigurable Robots -- Real-Time Software for Mobile Robot Simulation and Experimentation in Cooperative Environments -- Knowledge Processing Middleware -- Towards Automated Online Diagnosis of Robot Navigation Software -- A Common Framework for Co-operative Robotics: An Open, Fault Tolerant Architecture for Multi-league RoboCup Teams -- Multilevel Testing of Control Software for Teams of Autonomous Mobile Robots -- ppPDC Communication Framework – A New Tool for Distributed Robotics -- The Experimental Robotics Framework -- Applications -- Where Am I? A Simulated GPS Sensor for Outdoor Robotic Applications -- An Emphatic Humanoid Robot with Emotional Latent Semantic Behavior -- Developing Robot Motions by Simulated Touch Sensors -- 3D Simulation of a Motorized Operation Microscope -- Real-Time Least-Square Fitting of Ellipses Applied to the RobotCub Platform -- An Introduction to a New Commentator for RoboCup 3D Soccer Simulation -- Authority Sharing in a Swarm of UAVs: Simulation and Experiments with Operators -- Rescue Robot Navigation: Static Stability Estimation in Random Step Environment -- Performance Evaluation of Repeated Auctions for Robust Task Execution -- Conceptual Framework to Maintain Multiple and Floating Relationship among Coordinate Reference Systems for Robotics -- Conceptual Design of a Power Distribution Line Maintenance Robot Using a Developed CG Simulator and Experimental Robot System. |
| Altri titoli varianti | SIMPAR 2008 |
| Record Nr. | UNISA-996465899603316 |
| New York, New York : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Simultaneous localization and mapping [[electronic resource] ] : exactly sparse information filters / / Zhan Wang, Shoudong Huang, Gamini Dissanayake
| Simultaneous localization and mapping [[electronic resource] ] : exactly sparse information filters / / Zhan Wang, Shoudong Huang, Gamini Dissanayake |
| Autore | Wang Zhan |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2011 |
| Descrizione fisica | 1 online resource (208 p.) |
| Disciplina | 629.892637 |
| Altri autori (Persone) |
HuangShoudong <1969->
DissanayakeGamini |
| Collana | New frontiers in robotics |
| Soggetto topico |
Mobile robots
Robots - Control systems Sparse matrices Robotics Mappings (Mathematics) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-43379-6
9786613433794 981-4350-32-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; Acknowledgments; Chapter 1 Introduction; 1.1 The SLAM Problem and Its Applications; 1.1.1 Description of the SLAM Problem; 1.1.2 Applications of SLAM; 1.2 Summary of SLAM Approaches; 1.2.1 EKF/EIF based SLAM Approaches; 1.2.2 Other SLAM Approaches; 1.3 Key Properties of SLAM; 1.3.1 Observability; 1.3.2 EKF SLAM Convergence; 1.3.3 EKF SLAM Consistency; 1.4 Motivation; 1.5 Book Overview; Chapter 2 Sparse Information Filters in SLAM; 2.1 Information Matrix in the Full SLAM Formulation; 2.2 Information Matrix in the Conventional EIF SLAM Formulation
2.3 Meaning of Zero Off-diagonal Elements in Information Matrix2.4 Conditions for Achieving Exact Sparseness; 2.5 Strategies for Achieving Exact Sparseness; 2.5.1 Decoupling Localization and Mapping; 2.5.2 Using Local Submaps; 2.5.3 Combining Decoupling and Submaps; 2.6 Important Practical Issues in EIF SLAM; 2.7 Summary; Chapter 3 Decoupling Localization and Mapping; 3.1 The D-SLAM Algorithm; 3.1.1 Extracting Map Information from Observations; 3.1.2 Key Idea of D-SLAM; 3.1.3 Mapping; 3.1.4 Localization; 3.2 Structure of the Information Matrix in D-SLAM 3.3 Efficient State and Covariance Recovery3.3.1 Recovery Using the Preconditioned Conjugated Gradient (PCG) Method; 3.3.2 Recovery Using Complete Cholesky Factorization; 3.4 Implementation Issues; 3.4.1 Admissible Measurements; 3.4.2 Data Association; 3.5 Computer Simulations; 3.6 Experimental Evaluation; 3.6.1 Experiment in a Small Environment; 3.6.2 Experiment Using the Victoria Park Dataset; 3.7 Computational Complexity; 3.7.1 Storage; 3.7.2 Localization; 3.7.3 Mapping; 3.7.4 State and Covariance Recovery; 3.8 Consistency of D-SLAM; 3.9 Bibliographical Remarks; 3.10 Summary Chapter 4 D-SLAM Local Map Joining Filter4.1 Structure of D-SLAM Local Map Joining Filter; 4.1.1 State Vectors; 4.1.2 Relative Information Relating Feature Locations; 4.1.3 Combining Local Maps Using Relative Information; 4.2 Obtaining Relative Location Information in Local Maps; 4.2.1 Generating a Local Map; 4.2.2 Obtaining Relative Location Information in the Local Map; 4.3 Global Map Update; 4.3.1 Measurement Model; 4.3.2 Updating the Global Map; 4.3.3 Sparse Information Matrix; 4.4 Implementation Issues; 4.4.1 Robot Localization; 4.4.2 Data Association; 4.4.3 State and Covariance Recovery 4.4.4 When to Start a New Local Map4.5 Computational Complexity; 4.5.1 Storage; 4.5.2 Local Map Construction; 4.5.3 Global Map Update; 4.5.4 Rescheduling the Computational Effort; 4.6 Computer Simulations; 4.6.1 Simulation in a Small Area; 4.6.2 Simulation in a Large Area; 4.7 Experimental Evaluation; 4.8 Bibliographical Remarks; 4.9 Summary; Chapter 5 Sparse Local Submap Joining Filter; 5.1 Structure of Sparse Local Submap Joining Filter; 5.1.1 Input to SLSJF - Local Maps; 5.1.2 Output of SLSJF - One Global Map; 5.2 Fusing Local Maps into the Global Map 5.2.1 Adding XG(k+1)s into the Global Map |
| Record Nr. | UNINA-9910464543603321 |
|
Wang Zhan
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simultaneous localization and mapping [[electronic resource] ] : exactly sparse information filters / / Zhan Wang, Shoudong Huang, Gamini Dissanayake
| Simultaneous localization and mapping [[electronic resource] ] : exactly sparse information filters / / Zhan Wang, Shoudong Huang, Gamini Dissanayake |
| Autore | Wang Zhan |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2011 |
| Descrizione fisica | 1 online resource (208 p.) |
| Disciplina | 629.892637 |
| Altri autori (Persone) |
HuangShoudong <1969->
DissanayakeGamini |
| Collana | New frontiers in robotics |
| Soggetto topico |
Mobile robots
Robots - Control systems Sparse matrices Robotics Mappings (Mathematics) |
| ISBN |
1-283-43379-6
9786613433794 981-4350-32-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; Acknowledgments; Chapter 1 Introduction; 1.1 The SLAM Problem and Its Applications; 1.1.1 Description of the SLAM Problem; 1.1.2 Applications of SLAM; 1.2 Summary of SLAM Approaches; 1.2.1 EKF/EIF based SLAM Approaches; 1.2.2 Other SLAM Approaches; 1.3 Key Properties of SLAM; 1.3.1 Observability; 1.3.2 EKF SLAM Convergence; 1.3.3 EKF SLAM Consistency; 1.4 Motivation; 1.5 Book Overview; Chapter 2 Sparse Information Filters in SLAM; 2.1 Information Matrix in the Full SLAM Formulation; 2.2 Information Matrix in the Conventional EIF SLAM Formulation
2.3 Meaning of Zero Off-diagonal Elements in Information Matrix2.4 Conditions for Achieving Exact Sparseness; 2.5 Strategies for Achieving Exact Sparseness; 2.5.1 Decoupling Localization and Mapping; 2.5.2 Using Local Submaps; 2.5.3 Combining Decoupling and Submaps; 2.6 Important Practical Issues in EIF SLAM; 2.7 Summary; Chapter 3 Decoupling Localization and Mapping; 3.1 The D-SLAM Algorithm; 3.1.1 Extracting Map Information from Observations; 3.1.2 Key Idea of D-SLAM; 3.1.3 Mapping; 3.1.4 Localization; 3.2 Structure of the Information Matrix in D-SLAM 3.3 Efficient State and Covariance Recovery3.3.1 Recovery Using the Preconditioned Conjugated Gradient (PCG) Method; 3.3.2 Recovery Using Complete Cholesky Factorization; 3.4 Implementation Issues; 3.4.1 Admissible Measurements; 3.4.2 Data Association; 3.5 Computer Simulations; 3.6 Experimental Evaluation; 3.6.1 Experiment in a Small Environment; 3.6.2 Experiment Using the Victoria Park Dataset; 3.7 Computational Complexity; 3.7.1 Storage; 3.7.2 Localization; 3.7.3 Mapping; 3.7.4 State and Covariance Recovery; 3.8 Consistency of D-SLAM; 3.9 Bibliographical Remarks; 3.10 Summary Chapter 4 D-SLAM Local Map Joining Filter4.1 Structure of D-SLAM Local Map Joining Filter; 4.1.1 State Vectors; 4.1.2 Relative Information Relating Feature Locations; 4.1.3 Combining Local Maps Using Relative Information; 4.2 Obtaining Relative Location Information in Local Maps; 4.2.1 Generating a Local Map; 4.2.2 Obtaining Relative Location Information in the Local Map; 4.3 Global Map Update; 4.3.1 Measurement Model; 4.3.2 Updating the Global Map; 4.3.3 Sparse Information Matrix; 4.4 Implementation Issues; 4.4.1 Robot Localization; 4.4.2 Data Association; 4.4.3 State and Covariance Recovery 4.4.4 When to Start a New Local Map4.5 Computational Complexity; 4.5.1 Storage; 4.5.2 Local Map Construction; 4.5.3 Global Map Update; 4.5.4 Rescheduling the Computational Effort; 4.6 Computer Simulations; 4.6.1 Simulation in a Small Area; 4.6.2 Simulation in a Large Area; 4.7 Experimental Evaluation; 4.8 Bibliographical Remarks; 4.9 Summary; Chapter 5 Sparse Local Submap Joining Filter; 5.1 Structure of Sparse Local Submap Joining Filter; 5.1.1 Input to SLSJF - Local Maps; 5.1.2 Output of SLSJF - One Global Map; 5.2 Fusing Local Maps into the Global Map 5.2.1 Adding XG(k+1)s into the Global Map |
| Record Nr. | UNINA-9910788963203321 |
|
Wang Zhan
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simultaneous localization and mapping [[electronic resource] ] : exactly sparse information filters / / Zhan Wang, Shoudong Huang, Gamini Dissanayake
| Simultaneous localization and mapping [[electronic resource] ] : exactly sparse information filters / / Zhan Wang, Shoudong Huang, Gamini Dissanayake |
| Autore | Wang Zhan |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2011 |
| Descrizione fisica | 1 online resource (208 p.) |
| Disciplina | 629.892637 |
| Altri autori (Persone) |
HuangShoudong <1969->
DissanayakeGamini |
| Collana | New frontiers in robotics |
| Soggetto topico |
Mobile robots
Robots - Control systems Sparse matrices Robotics Mappings (Mathematics) |
| ISBN |
1-283-43379-6
9786613433794 981-4350-32-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; Acknowledgments; Chapter 1 Introduction; 1.1 The SLAM Problem and Its Applications; 1.1.1 Description of the SLAM Problem; 1.1.2 Applications of SLAM; 1.2 Summary of SLAM Approaches; 1.2.1 EKF/EIF based SLAM Approaches; 1.2.2 Other SLAM Approaches; 1.3 Key Properties of SLAM; 1.3.1 Observability; 1.3.2 EKF SLAM Convergence; 1.3.3 EKF SLAM Consistency; 1.4 Motivation; 1.5 Book Overview; Chapter 2 Sparse Information Filters in SLAM; 2.1 Information Matrix in the Full SLAM Formulation; 2.2 Information Matrix in the Conventional EIF SLAM Formulation
2.3 Meaning of Zero Off-diagonal Elements in Information Matrix2.4 Conditions for Achieving Exact Sparseness; 2.5 Strategies for Achieving Exact Sparseness; 2.5.1 Decoupling Localization and Mapping; 2.5.2 Using Local Submaps; 2.5.3 Combining Decoupling and Submaps; 2.6 Important Practical Issues in EIF SLAM; 2.7 Summary; Chapter 3 Decoupling Localization and Mapping; 3.1 The D-SLAM Algorithm; 3.1.1 Extracting Map Information from Observations; 3.1.2 Key Idea of D-SLAM; 3.1.3 Mapping; 3.1.4 Localization; 3.2 Structure of the Information Matrix in D-SLAM 3.3 Efficient State and Covariance Recovery3.3.1 Recovery Using the Preconditioned Conjugated Gradient (PCG) Method; 3.3.2 Recovery Using Complete Cholesky Factorization; 3.4 Implementation Issues; 3.4.1 Admissible Measurements; 3.4.2 Data Association; 3.5 Computer Simulations; 3.6 Experimental Evaluation; 3.6.1 Experiment in a Small Environment; 3.6.2 Experiment Using the Victoria Park Dataset; 3.7 Computational Complexity; 3.7.1 Storage; 3.7.2 Localization; 3.7.3 Mapping; 3.7.4 State and Covariance Recovery; 3.8 Consistency of D-SLAM; 3.9 Bibliographical Remarks; 3.10 Summary Chapter 4 D-SLAM Local Map Joining Filter4.1 Structure of D-SLAM Local Map Joining Filter; 4.1.1 State Vectors; 4.1.2 Relative Information Relating Feature Locations; 4.1.3 Combining Local Maps Using Relative Information; 4.2 Obtaining Relative Location Information in Local Maps; 4.2.1 Generating a Local Map; 4.2.2 Obtaining Relative Location Information in the Local Map; 4.3 Global Map Update; 4.3.1 Measurement Model; 4.3.2 Updating the Global Map; 4.3.3 Sparse Information Matrix; 4.4 Implementation Issues; 4.4.1 Robot Localization; 4.4.2 Data Association; 4.4.3 State and Covariance Recovery 4.4.4 When to Start a New Local Map4.5 Computational Complexity; 4.5.1 Storage; 4.5.2 Local Map Construction; 4.5.3 Global Map Update; 4.5.4 Rescheduling the Computational Effort; 4.6 Computer Simulations; 4.6.1 Simulation in a Small Area; 4.6.2 Simulation in a Large Area; 4.7 Experimental Evaluation; 4.8 Bibliographical Remarks; 4.9 Summary; Chapter 5 Sparse Local Submap Joining Filter; 5.1 Structure of Sparse Local Submap Joining Filter; 5.1.1 Input to SLSJF - Local Maps; 5.1.2 Output of SLSJF - One Global Map; 5.2 Fusing Local Maps into the Global Map 5.2.1 Adding XG(k+1)s into the Global Map |
| Record Nr. | UNINA-9910827254403321 |
|
Wang Zhan
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Synchronization of mechanical systems [[electronic resource] /] / Henk Nijmeijer, Alejandro Rodriguez-Angeles
| Synchronization of mechanical systems [[electronic resource] /] / Henk Nijmeijer, Alejandro Rodriguez-Angeles |
| Autore | Nijmeijer H (Hendrik), <1955-> |
| Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, c2003 |
| Descrizione fisica | 1 online resource (219 p.) |
| Disciplina | 621.3133 |
| Altri autori (Persone) | Rodriguez-AngelesAlejandro |
| Collana | World Scientific series on nonlinear science. Series A |
| Soggetto topico |
Robots - Control systems
Synchronization |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-93544-1
9786611935443 981-279-497-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents ; Preface ; 1. Introduction ; 1.1 General introduction ; 1.2 Synchronization ; 1.3 Synchronization in robotic systems ; 1.3.1 Velocity and acceleration measurements ; 1.3.2 Joint flexibility ; 1.3.3 Friction phenomena ; 1.4 Problem formulation
1.4.1 External synchronization of rigid joint robots 1.4.2 External synchronization of flexible joint robots ; 1.4.3 Mutual (internal) synchronization of rigid joint robots ; 1.5 Scope of the book ; 1.6 Outline of the book ; 2. Preliminaries 2.1 Mathematical preliminaries and stability concepts 2.1.1 Basic definitions ; 2.1.2 Lyapunov stability ; 2.1.3 Stability of perturbed systems ; 2.2 Dynamic models of robot manipulators ; 2.2.1 Rigid joint robots ; 2.2.2 Flexible joint robots 2.2.3 Properties of the dynamic model of the robots 2.2.4 Friction phenomena ; 2.3 Experimental setup ; 3. External synchronization of rigid joint robots ; 3.1 Introduction ; 3.2 Synchronization controller based on state feedback 3.3 Synchronization controller based on estimated variables 3.3.1 Feedback control law ; 3.3.2 An observer for the synchronization errors ; 3.3.3 An observer for the slave joint variables ; 3.3.4 Synchronization closed loop error dynamics ; 3.3.5 Stability analysis 3.4 Gain tuning procedure |
| Record Nr. | UNINA-9910454317303321 |
|
Nijmeijer H (Hendrik), <1955->
|
||
| Singapore ; ; River Edge, NJ, : World Scientific, c2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soggetto topico
-
Robots - Control systems
(136)
- Robotics (19)
- Artificial intelligence (16)
- Intelligent control systems (14)
- Automation (13)