04369nam 22008415 450 991072509960332120250514000750.09783031064692(electronic bk.)978303106468510.1007/978-3-031-06469-2(MiAaPQ)EBC7247417(Au-PeEL)EBL7247417(OCoLC)1379468285(DE-He213)978-3-031-06469-2(PPN)270612513(CKB)26624134900041(EXLCZ)992662413490004120230509d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierRobotics, vision and control fundamental algorithms in Python /Peter Corke3rd edition.Cham :Springer,[2023]©20231 online resource (xxvi, 824 pages) illustrationsSpringer tracts in advanced robotics,1610-742X ;volume 146Print version: Corke, Peter Robotics, Vision and Control Cham : Springer International Publishing AG,c2023 9783031064685 Includes bibliographical references and indexes.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.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.Springer tracts in advanced robotics ;v. 146.Automatic controlRoboticsPython (Computer program language)Computer algorithmsAutomationArtificial intelligenceComputer visionSignal processingCognitive psychologyControl, Robotics, AutomationArtificial IntelligenceControl and Systems TheoryComputer VisionDigital and Analog Signal ProcessingCognitive PsychologyAutomatic control.Robotics.Python (Computer program language)Computer algorithms.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.929.605629.892637Corke Peter I.1959-27537MiAaPQMiAaPQMiAaPQ9910725099603321Robotics, Vision and Control3366439UNINA