000			03140cam a22003737a 4500
999			_c381620 _d381620
001			16878742
003			APU
005			20181012072445.0
008			181012s2011 gw a b 001 0 eng d
010			_a 2011934624
016	7		_a015890700 (pbk.)
020			_a9783319544120 (pbk.)
035			_a(OCoLC)ocn754988355
040			_aSISPL _cSISPL _dSF _dWAN _beng
042			_alccopycat
050	0	0	_aTJ211.35 _b.C67 2017
082	0	0	_a629.8/92637 _223
100	1		_aCorke, Peter I., _d1959- _939410
245	1	0	_aRobotics, vision and control : _bfundamental algorithms in MATLAB / _cPeter Corke.
250			_a2nd ed.
260			_aCham, Switzerland : _bSpringer, _c2017
300			_a1 vol. (xxix-693 p.) : _bill. (some col.) ; _c26 cm.
490	1		_aSpringer tracts in advanced robotics _v118
500			_a"With 393 images."
504			_aIncludes bibliographical references and index.
520			_aRobotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 20 years the author has maintained two open-source MATLAB® Toolboxes, one for robotics and one for vision. They provide implementations of many important algorithms and allow users to work with real problems, not just trivial examples. This book makes the fundamental algorithms of robotics, vision and control accessible to all. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together. Using the latest versions of the Toolboxes the author shows how complex problems can be decomposed and solved using just a few simple lines of code. The topics covered are guided by real problems observed by the author over many years as a practitioner of both robotics and computer vision. It is written in an accessible but informative style, easy to read and absorb, and includes over 1000 MATLAB and Simulink® examples and over 400 figures. The book is a real walk through the fundamentals of mobile robots, arm robots. then camera models, image processing, feature extraction and multi-view geometry and finally bringing it all together with an extensive discussion of visual servo systems. This second edition is completely revised, updated and extended with coverage of Lie groups, matrix exponentials and twists; inertial navigation; differential drive robots; lattice planners; pose-graph SLAM and map making; restructured material on arm-robot kinematics and dynamics; series-elastic actuators and operational-space control; Lab color spaces; light field cameras; structured light, bundle adjustment and visual odometry; and photometric visual servoing.
650		0	_aRobotics. _939411
650		0	_aMATLAB. _939412
830		0	_aSpringer tracts in advanced robotics ; _vv. 73. _939413
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2lcc _cBook