1.

Record Nr.

UNINA9910725099603321

Autore

Corke Peter

Titolo

Robotics, Vision and Control : Fundamental Algorithms in Python / / by Peter Corke

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023

ISBN

9783031064692

9783031064685

Edizione

[3rd ed. 2023.]

Descrizione fisica

1 online resource (836 pages)

Collana

Springer Tracts in Advanced Robotics, , 1610-742X ; ; 146

Disciplina

929.605

629.892637

Soggetti

Control engineering

Robotics

Automation

Artificial intelligence

Computer vision

Signal processing

Cognitive psychology

Control, Robotics, Automation

Artificial Intelligence

Control and Systems Theory

Computer Vision

Digital and Analog Signal Processing

Cognitive Psychology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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.