Robotics, Vision and Control
Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended And Updated Edition
Seiten
2017
|
2nd ed. 2017
Springer International Publishing (Verlag)
978-3-319-54412-0 (ISBN)
Springer International Publishing (Verlag)
978-3-319-54412-0 (ISBN)
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Robotics and computer vision both require applying computational algorithms to data. This book shows how complex problems in this field can be broken down and solved using just a few simple lines of code, and aims to inspire up-and-coming researchers.
lt;p>Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 20 years the author has maintained two open-source MATLAB® 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 Toolboxes 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 over 400 figures. The book is a real walk through the fundamentals of mobile robots, arm robots. 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. This second edition is completely revised, updated and extended with coverage of Lie groups, matrix exponentials and twists; inertial navigation; differential drive robots; lattice planners; pose-graph SLAM and map making; restructured material on arm-robot kinematics and dynamics; series-elastic actuators and operational-space control; Lab color spaces; light field cameras; structured light, bundle adjustment and visual odometry; and photometric visual servoing.
lt;p>Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 20 years the author has maintained two open-source MATLAB® 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 Toolboxes 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 over 400 figures. The book is a real walk through the fundamentals of mobile robots, arm robots. 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. This second edition is completely revised, updated and extended with coverage of Lie groups, matrix exponentials and twists; inertial navigation; differential drive robots; lattice planners; pose-graph SLAM and map making; restructured material on arm-robot kinematics and dynamics; series-elastic actuators and operational-space control; Lab color spaces; light field cameras; structured light, bundle adjustment and visual odometry; and photometric visual servoing.
"An authoritative book, reaching across fields, thoughtfully conceived and brilliantly accomplished!"
OUSSAMA KHATIB, Stanford
The author is the organizer of the venerable Robotics Toolbox for Matlab http://www.petercorke.com/robot with 100.000 + downloads per year (as well as the Vision Toolbox for Matlab) Peter Corke has been appointed new Editor of the IEEE Robotics and Automation Magazine.
Part I Foundations.- Part II Mobile Robots.- Part III Arm-type Robots.- Part IV Vision.- Part V Robotics and Vision.
| Erscheinungsdatum | 29.05.2017 |
|---|---|
| Reihe/Serie | Springer Tracts in Advanced Robotics |
| Zusatzinfo | XXIX, 693 p. 402 illus., 335 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 193 x 260 mm |
| Gewicht | 1845 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Maschinenbau | |
| Schlagworte | Algebraic Geometry • Algorithmen • Artificial Intelligence • artificial intelligence (incl. robotics) • automatic control engineering • Cognition & cognitive psychology • Cognition & cognitive psychology • Cognitive Psychology • computer vision • Control • Engineering • Engineering: general • Geometric Control Theory • Image Processing • image processing and computer vision • Imaging Systems & Technology • Imaging Systems & Technology • MATLAB • MATLAB (Software) • Neuroscience • optimal control • Optimization • Roboter • Robotics • Robotics and Automation • Robotics Toolbox • Signal, Image and Speech Processing • Signal Processing • Vision • Vision Toolbox |
| ISBN-10 | 3-319-54412-8 / 3319544128 |
| ISBN-13 | 978-3-319-54412-0 / 9783319544120 |
| Zustand | Neuware |
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