Robotics, Vision and Control : Fundamental Algorithms In MATLAB® / Peter Corke , Witold Jachimczyk , Remo Pillat.

By:

Corke, Peter [author]

Contributor(s):

Material type: Text

TextSeries: Springer Tracts in Advanced Robotics ; volume 147Publisher: Cham : Springer Nature Switzerland AG, 2023Edition: 3rd edition 2023Description: xxiv, 819 pages : llustrations, maps ; 29 cmContent type:

text

Media type:

Text

Carrier type:

unmediated

ISBN:

9783031072611

Subject(s): Additional physical formats: Print version:: Robotics, vision and control.; Printed edition:: No title; Printed edition:: No titleDDC classification:

629.892 23

Contents:

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

Summary: 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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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Text Books	UPM Female Campus Library FR	Computer and Cyber Sciences	629.892 CPR (Browse shelf(Opens below))	c.1	Available	UPM0000007506
Text Books	UPM Female Campus Library FR	Computer and Cyber Sciences	629.892 CPR (Browse shelf(Opens below))	c.2	Available	UPM0000007510
Text Books	UPM Female Campus Library FR	Computer and Cyber Sciences	629.892 CPR (Browse shelf(Opens below))	c.3	Available	UPM0000007509
Text Books	UPM Male Campus Library FR	Computer and Cyber Sciences	629.892 CPR (Browse shelf(Opens below))	c.4	Available	UPM0000007508
Text Books	UPM Male Campus Library FR	Computer and Cyber Sciences	629.892 CPR (Browse shelf(Opens below))	c.5	Available	UPM0000007505
Text Books	UPM Male Campus Library FR	Computer and Cyber Sciences	629.892 CPR (Browse shelf(Opens below))	c.6	Available	UPM0000007507

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

Description based on publisher-supplied MARC data.

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