Bookbot

Springer Tracts in Advanced Robotics - 146: Robotics, Vision and Control

Fundamental Algorithms in Python® - Third Edition

Więcej o książce

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.

Zakup książki

Springer Tracts in Advanced Robotics - 146: Robotics, Vision and Control, Peter I. Corke

Język
Rok wydania
2022
Oprawa
(miękka)
Jak tylko się pojawi, wyślemy Ci wiadomość e-mail.

Metody płatności

Nikt jeszcze nie ocenił.Oceń

Tytuł
Springer Tracts in Advanced Robotics - 146: Robotics, Vision and Control
Podtytuł
Fundamental Algorithms in Python® - Third Edition
Język
angielski
Wydawca
Springer
Rok wydania
2022
Oprawa
miękka
Liczba stron
850
ISBN10
3031064682
ISBN13
9783031064685
Seria
Opis
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.