TY  - BOOK
AU  - Corke,Peter
ED  - SpringerLink (Online service)
TI  - Robotics, Vision and Control: Fundamental Algorithms in Python 
T2  - Springer Tracts in Advanced Robotics,
SN  - 9783031064692
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 -- Vision-Based Control: Vision-Based Control -- Advanced Visual Servoing -- 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 narrative that covers robotics and computer vision-separately, and together as robotic vision. 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 Python and is accompanied by fully open-source Python-based Toolboxes for robotics and machine vision. The new Toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems on a broad range of computing platforms. 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, or modifying the Toolbox code itself
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-06469-2
ER  -