LEADER 04369nam 22008415 450 001 9910725099603321 005 20250514000750.0 010 $a9783031064692$b(electronic bk.) 010 $z9783031064685 024 7 $a10.1007/978-3-031-06469-2 035 $a(MiAaPQ)EBC7247417 035 $a(Au-PeEL)EBL7247417 035 $a(OCoLC)1379468285 035 $a(DE-He213)978-3-031-06469-2 035 $a(PPN)270612513 035 $a(CKB)26624134900041 035 $a(EXLCZ)9926624134900041 100 $a20230509d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRobotics, vision and control $efundamental algorithms in Python /$fPeter Corke 205 $a3rd edition. 210 1$aCham :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (xxvi, 824 pages) $cillustrations 225 1 $aSpringer tracts in advanced robotics,$x1610-742X ;$vvolume 146 311 08$aPrint version: Corke, Peter Robotics, Vision and Control Cham : Springer International Publishing AG,c2023 9783031064685 320 $aIncludes bibliographical references and indexes. 327 $aIntroduction.-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. 330 $aThis textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. It is written in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a narrative that covers robotics and computer vision?separately, and together as robotic vision. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple lines of code. This edition is based on Python and is accompanied by fully open-source Python-based Toolboxes for robotics and machine vision. The new Toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems on a broad range of computing platforms. For the beginning student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used. The code can also be the starting point for new work, for practitioners, students, or researchers, by writing programs based on Toolbox functions, or modifying the Toolbox code itself. 410 0$aSpringer tracts in advanced robotics ;$vv. 146. 606 $aAutomatic control 606 $aRobotics 606 $aPython (Computer program language) 606 $aComputer algorithms 606 $aAutomation 606 $aArtificial intelligence 606 $aComputer vision 606 $aSignal processing 606 $aCognitive psychology 606 $aControl, Robotics, Automation 606 $aArtificial Intelligence 606 $aControl and Systems Theory 606 $aComputer Vision 606 $aDigital and Analog Signal Processing 606 $aCognitive Psychology 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aPython (Computer program language) 615 0$aComputer algorithms. 615 0$aAutomation. 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aSignal processing. 615 0$aCognitive psychology. 615 14$aControl, Robotics, Automation. 615 24$aArtificial Intelligence. 615 24$aControl and Systems Theory. 615 24$aComputer Vision. 615 24$aDigital and Analog Signal Processing. 615 24$aCognitive Psychology. 676 $a929.605 676 $a629.892637 700 $aCorke$b Peter I.$f1959-$027537 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910725099603321 996 $aRobotics, Vision and Control$93366439 997 $aUNINA