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.
Robot vision : second international workshop, RobVis 2008, Auckland, New Zealand, February 18-20, 2008 : proceedings / / edited by Gerald Sommer, Reinhard Klette
| Robot vision : second international workshop, RobVis 2008, Auckland, New Zealand, February 18-20, 2008 : proceedings / / edited by Gerald Sommer, Reinhard Klette |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Germany : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (XI, 472 p.) |
| Disciplina | 629.892637 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico | Robot vision |
| ISBN | 3-540-78157-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Motion Analysis -- Dynamic Multiresolution Optical Flow Computation -- Particle-Based Belief Propagation for Structure from Motion and Dense Stereo Vision with Unknown Camera Constraints -- Stereo Vision -- Integrating Disparity Images by Incorporating Disparity Rate -- Towards Optimal Stereo Analysis of Image Sequences -- Fast Line-Segment Extraction for Semi-dense Stereo Matching -- High Resolution Stereo in Real Time -- Robot Vision -- Stochastically Optimal Epipole Estimation in Omnidirectional Images with Geometric Algebra -- Modeling and Tracking Line-Constrained Mechanical Systems -- Stereo Vision Local Map Alignment for Robot Environment Mapping -- Markerless Augmented Reality for Robotic Helicoptor Applications -- Facial Expression Recognition for Human-Robot Interaction – A Prototype -- Computer Vision -- Iterative Low Complexity Factorization for Projective Reconstruction -- Accurate Image Matching in Scenes Including Repetitive Patterns -- Camera Self-calibration under the Constraint of Distant Plane -- Visual Inspection -- An Approximate Algorithm for Solving the Watchman Route Problem -- Bird’s-Eye View Vision System for Vehicle Surrounding Monitoring -- Road-Signs Recognition System for Intelligent Vehicles -- Situation Analysis and Atypical Event Detection with Multiple Cameras and Multi-Object Tracking -- Urban Vision -- Team AnnieWAY’s Autonomous System -- The Area Processing Unit of Caroline - Finding the Way through DARPA’s Urban Challenge -- Sensor Architecture and Data Fusion for Robotic Perception in Urban Environments at the 2007 DARPA Urban Challenge -- Poster Session -- Belief-Propagation on Edge Images for Stereo Analysis of Image Sequences -- Real-Time Hand and Eye Coordination for Flexible Impedance Control of Robot Manipulator -- MFC - A Modular Line Camera for 3D World Modulling -- 3D Person Tracking with a Color-Based Particle Filter -- Terrain-Based Sensor Selection for Autonomous Trail Following -- Generic Object Recognition Using Boosted Combined Features -- Stereo Vision Based Self-localization of Autonomous Mobile Robots -- Robust Ellipsoidal Model Fitting of Human Heads -- Hierarchical Fuzzy State Controller for Robot Vision -- A New Camera Calibration Algorithm Based on Rotating Object -- Visual Navigation of Mobile Robot Using Optical Flow and Visual Potential Field -- Behavior Based Robot Localisation Using Stereo Vision -- Direct Pose Estimation with a Monocular Camera -- Differential Geometry of Monogenic Signal Representations. |
| Record Nr. | UNISA-996466251503316 |
| Berlin, Germany : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Robot vision / ed. by Alan Pugh
| Robot vision / ed. by Alan Pugh |
| Pubbl/distr/stampa | Bedford, : IFS |
| Descrizione fisica | XI, 356 p. : ill. ; 24 cm. |
| Disciplina |
629.8
629.892637 |
| Collana | International trends in manufacturing technology |
| Soggetto topico | Automi |
| ISBN |
0387120734
0903608324 3540120734 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISANNIO-CAG1455103 |
| Bedford, : IFS | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Sannio | ||
| ||
Robotic vision : fundamental algorithms in MATLAB® / / Peter Corke
| Robotic vision : fundamental algorithms in MATLAB® / / Peter Corke |
| Autore | Corke Peter I. <1959-> |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (419 pages) |
| Disciplina | 629.892637 |
| Collana | Springer Tracts in Advanced Robotics |
| Soggetto topico | Robot vision |
| ISBN | 3-030-79175-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction.- Part I: Foundations- Representing Position and Orientation.- Part II: Computer Vision.- Light and Color.- Images and Image Processing.- Image Feature Extraction.- Part III: The Geometry of Vision.- Image Formation.- Using Multiple Images.- Index. |
| Record Nr. | UNINA-9910523799803321 |
Corke Peter I. <1959->
|
||
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robotics, vision and control : fundamental algorithms in MATLAB / Peter Corke
| Robotics, vision and control : fundamental algorithms in MATLAB / Peter Corke |
| Autore | Corke, Peter I. <1959- > |
| Edizione | [Corrected 2. printing] |
| Pubbl/distr/stampa | Berlin ; Heidelberg, : Springer, 2013 |
| Descrizione fisica | XXIV, 570 p. : ill. in parte color. ; 27 cm |
| Disciplina |
629.8
629.892637 |
| Collana | Springer tracts in advanced robotics |
| Soggetto topico | Automi |
| ISBN | 9783642201431 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISANNIO-NAP0566114 |
|
Corke, Peter I. <1959- >
|
||
| Berlin ; Heidelberg, : Springer, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Sannio | ||
| ||
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 | ||
| ||
Switchable constraints for robust simultaneous localization and mapping and satellite-based localization / / Niko Sünderhauf
| Switchable constraints for robust simultaneous localization and mapping and satellite-based localization / / Niko Sünderhauf |
| Autore | Sünderhauf Niko |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (XIV, 184 p. 81 illus., 76 illus. in color.) |
| Disciplina | 629.892637 |
| Collana | Springer Tracts in Advanced Robotics |
| Soggetto topico | Robot vision |
| ISBN | 3-031-24017-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Simultaneous Localization And Mapping -- Least Squares Optimization -- Motivation - When Optimization Fails -- A Robust Back-End for SLAM -- Evaluation. |
| Record Nr. | UNINA-9910686482003321 |
|
Sünderhauf Niko
|
||
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Vision Based Autonomous Robot Navigation [[electronic resource] ] : Algorithms and Implementations / / by Amitava Chatterjee, Anjan Rakshit, N. Nirmal Singh
| Vision Based Autonomous Robot Navigation [[electronic resource] ] : Algorithms and Implementations / / by Amitava Chatterjee, Anjan Rakshit, N. Nirmal Singh |
| Autore | Chatterjee Amitava |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (X, 226 p.) |
| Disciplina | 629.892637 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Robotics Automation Computational Intelligence Artificial Intelligence Robotics and Automation |
| ISBN | 3-642-33965-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mobile Robot Navigation -- Interfacing External Peripherals with a Mobile Robot -- Vision-Based Mobile Robot Navigation Using Subgoals -- Indigenous Development of Vision-Based Mobile Robots -- Sample Implementations of Vision-Based Mobile Robot Algorithms -- Vision Based Mobile Robot Path/Line Tracking -- Simultaneous Localization and Mapping (SLAM) in Mobile Robots -- Vision Based SLAM in Mobile Robots. |
| Record Nr. | UNINA-9910438046803321 |
|
Chatterjee Amitava
|
||
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Vision based identification and force control of industrial robots / / Abdullah Aamir Hayat (and six others)
| Vision based identification and force control of industrial robots / / Abdullah Aamir Hayat (and six others) |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] |
| Descrizione fisica | 1 online resource (212 pages) : illustrations (some color) |
| Disciplina | 629.892637 |
| Collana | Studies in systems, decision and control |
| Soggetto topico |
Robots - Dynamics
Robots, Industrial Robot vision |
| ISBN |
981-16-6989-9
981-16-6990-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction Vision System and Calibration Uncertainty and Sensitivity Analysis Identication Force Control and Assembly Integrated Assembly and Performance Evaluation Conclusion Vision and Uncertainty Analysis Robot Jacobian Code Snippets and Experimental Videos |
| Record Nr. | UNINA-9910743336903321 |
| Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
