01723nam a22002177a 450000500170000000800410001702000180005804000130007608200220008910000170011124500840012825000120021226000280022430000170025249000490026950000510031852011040036954600080147365000130148165000110149420260603161420.0260603m20232011|||||||| |||| 00| 0 eng d  a9783031064685  cPK-LaUMT  a629.892637bCOR-R1 aCorke, Peter10aRobotics, vision and control :bfundamental algorithms in python /cPeter Corke  a3rd ed.  aCham :bSpringer,c2023  axxvi, 824 p.  a Springer tracts in advanced robotics ;v146  aIncludes bibliographical references and index.  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 visionseparately, 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  aEng  aRobotics  aPython