Robotics, Vision and Control : Fundamental Algorithms In MATLAB® / Peter Corke , Witold Jachimczyk , Remo Pillat.
Material type: TextSeries: Springer Tracts in Advanced Robotics ; volume 147Publisher: Cham : Springer Nature Switzerland AG, 2023Edition: 3rd edition 2023Description: xxiv, 819 pages : llustrations, maps ; 29 cmContent type:- text
- Text
- unmediated
- 9783031072611
- Artificial intelligence
- Automation
- Cognitive psychology
- Control engineering
- Image processing
- Optical data processing
- Robotics
- Signal processing
- Speech processing systems
- Robotics and Automation
- Artificial Intelligence
- Cognitive Psychology
- Control and Systems Theory
- Image Processing and Computer Vision
- Signal, Image and Speech Processing
- 629.892 23
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Introduction.-Foundations: Representing Position and Orientation
Time and Motion
Mobile Robotics: Mobile Robot Vehicles
Navigation
Localization and Mapping
Robot Manipulators: Robot Arm Kinematics
Manipulator Velocity
Dynamics and Control
Computer Vision: Light and Color
Images and Image Processing,- Image Feature Extraction,- Image Formation
Using Multiple Images
Installing the Toolboxes
Linear Algebra
Geometry
Lie Groups and Algebras
This textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. It is written in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a cohesive narrative. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple lines of code. This edition is based on MATLAB and a number of MathWorks toolboxes. These provide a set of supported software tools for addressing a broad range of applications in robotics and computer vision. These toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems. For the beginning student, the book makes the algorithms accessible, the toolbox code can be read to gain understanding, and the examples illustrate how it can be used. The code can also be the starting point for new work, for practitioners, students, or researchers, by writing programs based on toolbox functions. Two co-authors from MathWorks have joined the writing team and bring deep knowledge of these MATLAB toolboxes and workflows
Description based on publisher-supplied MARC data.
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