| Titre : | Robotics, Vision and Control : fundamental algorithms in MATLAB | | Type de document : | texte imprimé | | Auteurs : | Peter Corke, Auteur | | Editeur : | Berlin Heidelberg : Springer-Verlag | | Année de publication : | 2013 | | Collection : | Springer Tracts in Advanced Robotics num. Vol. 73 | | Importance : | 570 p. | | Présentation : | couv. ill. en coul., ill. | | Format : | 26,4 cm. | | ISBN/ISSN/EAN : | 978-3-642-20143-1 | | Langues : | Anglais (eng) | | Catégories : | AUTOMATISME
| | Mots-clés : | Matlab Robotics Robotics Toolbox Vision Vision Toolbox Control Optimal Control Geometric Control Theory Algebraic Geometry Optimization Neuroscience | | Index. décimale : | 25-08 Robotique.Application et simulation | | Résumé : | Robotics, Robotic vision, the combination of robotics and computer Vision vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed and a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 10 years the author has Control maintained two open-source MATIAB® Toolboxes, one for robotics and one for vision.
They provide implementations of many important algorithms and allow users to work with real problems, not just trivial examples. This book makes the fundamental algorithms of robotics, vision and control accessible to all. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together. Using the latest versions of the Tool-boxes the author shows how complex problems can be decomposed and solved using just a few simple lines of code.
The topics covered are guided by real problems observed by the author over many years as a practitioner of both robotics and computer vision. It is written in an accessible but informative style, easy to read and absorb, and includes over 1000 Matlab and Simulink® examples and figures. The book is a real walk through the fundamentals of mobile robots, arm robots kinematic, dynamics and joint level control, then camera models, image processing, feature extraction and multi-view geometry and finally bringing it all together with an extensive discussion of visual servo systems.
| | Note de contenu : | Table of contents
1 Introduction
Part I Foundations
2 Representing Position and Orientation
3 Time and Motion
Part II Mobile Robot
4 Mobile Robot Vehicles
5 Navigation
6 Localization
Part III Arm-Type Robots
7 Robot Arm Kinematics
8 Velocity Relationships
9 Dynamics and Control
Part IV Computer Vision
10 Light and Color
11 Image Formation
12 Image Processing
13 Image Feature Extraction
14 Using Multiple Images
Part V Robotics, Vision and Control
15 Vision-Based Control
16 Advanced Visual Servoing
-Appendices
-Index |
Robotics, Vision and Control : fundamental algorithms in MATLAB [texte imprimé] / Peter Corke, Auteur . - Berlin Heidelberg : Springer-Verlag, 2013 . - 570 p. : couv. ill. en coul., ill. ; 26,4 cm.. - ( Springer Tracts in Advanced Robotics; Vol. 73) . ISBN : 978-3-642-20143-1 Langues : Anglais ( eng) | Catégories : | AUTOMATISME
| | Mots-clés : | Matlab Robotics Robotics Toolbox Vision Vision Toolbox Control Optimal Control Geometric Control Theory Algebraic Geometry Optimization Neuroscience | | Index. décimale : | 25-08 Robotique.Application et simulation | | Résumé : | Robotics, Robotic vision, the combination of robotics and computer Vision vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed and a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 10 years the author has Control maintained two open-source MATIAB® Toolboxes, one for robotics and one for vision.
They provide implementations of many important algorithms and allow users to work with real problems, not just trivial examples. This book makes the fundamental algorithms of robotics, vision and control accessible to all. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together. Using the latest versions of the Tool-boxes the author shows how complex problems can be decomposed and solved using just a few simple lines of code.
The topics covered are guided by real problems observed by the author over many years as a practitioner of both robotics and computer vision. It is written in an accessible but informative style, easy to read and absorb, and includes over 1000 Matlab and Simulink® examples and figures. The book is a real walk through the fundamentals of mobile robots, arm robots kinematic, dynamics and joint level control, then camera models, image processing, feature extraction and multi-view geometry and finally bringing it all together with an extensive discussion of visual servo systems.
| | Note de contenu : | Table of contents
1 Introduction
Part I Foundations
2 Representing Position and Orientation
3 Time and Motion
Part II Mobile Robot
4 Mobile Robot Vehicles
5 Navigation
6 Localization
Part III Arm-Type Robots
7 Robot Arm Kinematics
8 Velocity Relationships
9 Dynamics and Control
Part IV Computer Vision
10 Light and Color
11 Image Formation
12 Image Processing
13 Image Feature Extraction
14 Using Multiple Images
Part V Robotics, Vision and Control
15 Vision-Based Control
16 Advanced Visual Servoing
-Appendices
-Index |
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