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Robotics, vision and controlfundamental algorithms in Python /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robotics, vision and controlby Peter Corke.
Reminder of title:	fundamental algorithms in Python /
Author:	Corke, Peter I.
Published:	Cham :Springer International Publishing :2023.
Description:	1 online resource (xxvi, 824 p.) :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Robotics.
Online resource:	https://doi.org/10.1007/978-3-031-06469-2
ISBN:	9783031064692$q(electronic bk.)

Robotics, vision and controlfundamental algorithms in Python /
Corke, Peter I.

Robotics, vision and controlfundamental algorithms in Python /[electronic resource] :by Peter Corke. - Third edition. - Cham :Springer International Publishing :2023. - 1 online resource (xxvi, 824 p.) :ill., digital ;24 cm. - Springer tracts in advanced robotics,v. 1461610-742X ;. - Springer tracts in advanced robotics ;v. 13.

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.

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.

ISBN: 9783031064692$q(electronic bk.)

Standard No.: 10.1007/978-3-031-06469-2doiSubjects--Topical Terms:

181952
Robotics.

LC Class. No.: TJ211

Dewey Class. No.: 629.892637

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520 $a 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.
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