000			01780nam a22002417a 4500
005			20260603161420.0
008			260603m20232011|||||||| |||| 00| 0 eng d
020			_a9783031064685
040			_cPK-LaUMT
082			_a629.892637 _bCOR-R
100	1		_aCorke, Peter _912215
245	1	0	_aRobotics, vision and control : _bfundamental algorithms in python / _cPeter Corke
250			_a3rd ed.
260			_aCham : _bSpringer, _c2023
300			_axxvi, 824 p.
490			_a Springer tracts in advanced robotics ; _v146
500			_aIncludes bibliographical references and index.
520			_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
546			_aEng
650			_aRobotics
650			_aPython
942			_cBK
999			_c140944 _d140944