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Robotics, vision and controlfundamental algorithms in MATLAB® /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robotics, vision and controlby Peter Corke, Witold Jachimczyk, Remo Pillat.
Reminder of title:	fundamental algorithms in MATLAB® /
Author:	Corke, Peter I.
other author:	Jachimczyk, Witold.
Published:	Cham :Springer International Publishing :2023.
Description:	1 online resource (xxiv, 819 p.) :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	RobotsControl systems.
Online resource:	https://doi.org/10.1007/978-3-031-07262-8
ISBN:	9783031072628$q(electronic bk.)

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

Robotics, vision and controlfundamental algorithms in MATLAB® /[electronic resource] :by Peter Corke, Witold Jachimczyk, Remo Pillat. - Third edition. - Cham :Springer International Publishing :2023. - 1 online resource (xxiv, 819 p.) :ill. (some col.), digital ;24 cm. - Springer tracts in advanced robotics,v. 1471610-742X ;. - 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 -- 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.

ISBN: 9783031072628$q(electronic bk.)

Standard No.: 10.1007/978-3-031-07262-8doiSubjects--Topical Terms:

182098
Robots
--Control systems.

LC Class. No.: TJ211.35 / .C67 2023

Dewey Class. No.: 629.892

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505 0 $a 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.
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 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.
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