TY  - BOOK
AU  - Corke,Peter
AU  - Jachimczyk,Witold
AU  - Pillat,Remo
ED  - SpringerLink (Online service)
TI  - Robotics, Vision and Control: Fundamental Algorithms in MATLAB® 
T2  - Springer Tracts in Advanced Robotics,
SN  - 9783031072628
AV  - TJ212-225 
U1  - 629.8 23
PY  - 2023///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Control engineering
KW  - Robotics
KW  - Automation
KW  - Artificial intelligence
KW  - Computer vision
KW  - Signal processing
KW  - Cognitive psychology
KW  - Control, Robotics, Automation
KW  - Artificial Intelligence
KW  - Control and Systems Theory
KW  - Computer Vision
KW  - Digital and Analog Signal Processing
KW  - Cognitive Psychology
N1  - Acceso multiusuario; 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-07262-8
ER  -