TY  - BOOK
AU  - Corke, Peter
AU  - Jachimczyk, Witold
AU  - Pillat, Remo 
TI  - Robotics, Vision and Control: Fundamental Algorithms In MATLAB®  
T2  -  Springer tracts in advanced robotics
SN  - 9783031072611
U1  - 629.892 23
PY  - 2023///
CY  - Cham
PB  - Springer Nature Switzerland AG, 
KW  - Artificial intelligence
KW  - Automation
KW  - Cognitive psychology
KW  - Control engineering
KW  - Image processing
KW  - Optical data processing
KW  - Robotics
KW  - Signal processing
KW  - Speech processing systems
KW  - Robotics and Automation
KW  - Artificial Intelligence
KW  - Cognitive Psychology
KW  - Control and Systems Theory
KW  - Image Processing and Computer Vision
KW  - Signal, Image and Speech Processing
N1  - 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
N2  - 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
ER  -