Robotics, Vision and Control: Fundamental Algorithms in Python
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.

1141368243
Robotics, Vision and Control: Fundamental Algorithms in Python
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.

64.99 In Stock
Robotics, Vision and Control: Fundamental Algorithms in Python

Robotics, Vision and Control: Fundamental Algorithms in Python

by Peter Corke
Robotics, Vision and Control: Fundamental Algorithms in Python
Add to Wishlist
Robotics, Vision and Control: Fundamental Algorithms in Python

Robotics, Vision and Control: Fundamental Algorithms in Python

by Peter Corke

Overview

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.

Product Details

ISBN-13: 9783031064685
Publisher: Springer International Publishing
Publication date: 05/10/2023
Series: Springer Tracts in Advanced Robotics , #146
Edition description: Third Edition 2023
Pages: 824
Product dimensions: 8.27(w) x 10.98(h) x (d)

About the Author

Peter Corke is a robotics educator and researcher. He is known for his work in vision-based control and field robotics, as well as open-source robotics software and educational resources such as the QUT Robot Academy. He is a distinguished professor at the Queensland University of Technology and a technical advisor to several robotics companies. He was the Australian University Teacher of the Year in 2017 and is a fellow of the IEEE, the Australian Academy of Technology and Engineering, and the Australian Academy of Science. He received his PhD from the University of Melbourne.

Table of 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.- Vision-Based Control: Vision-Based Control.- Advanced Visual Servoing.- Installing the Toolboxes.- Linear Algebra.- Geometry.- Lie Groups and Algebras.
From the B&N Reads Blog
Page 1 of

Related Subjects

Science & Technology
Engineering
Electrical & Electronic Engineering
Engineering - Electrical & Electronic
Science & Technology
Engineering
Electrical & Electronic Engineering
Engineering - Electrical & Electronic

Customer Reviews