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008 170520s2017 gw |||| o |||| 0|eng
010 _a 2019744290
020 _a9783319544137
024 7 _a10.1007/978-3-319-54413-7
_2doi
035 _a(DE-He213)978-3-319-54413-7
040 _aDLC
_beng
_epn
_erda
_cDLC
072 7 _aTEC037000
_2bisacsh
072 7 _aTJFM1
_2bicssc
072 7 _aTJFM1
_2thema
082 0 4 _aREF 629.892
_bCOR-R
100 1 _aCorke, Peter
245 1 0 _aRobotics, vision and control :
_bfundamental algorithms in MATLAB
_cby Peter Corke
250 _a2nd ed.
260 _aHeidelberg :
_bSpringer,
_c©2017
300 _axxix, 693 p. :
_bill. ;
_c26 cm.
490 1 _aSpringer Tracts in Advanced Robotics,
_x1610-7438 ;
_v118
500 _aThis book includes bibliographical references and index.
505 0 _aPart I Foundations -- Part II Mobile Robots -- Part III Arm-type Robots -- Part IV Vision -- Part V Robotics and Vision.
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. "An authoritative book, reaching across fields, thoughtfully conceived and brilliantly accomplished!" OUSSAMA KHATIB, Stanford.
650 0 _aArtificial intelligence.
650 0 _aAutomation.
650 0 _aCognitive psychology.
650 0 _aControl engineering.
650 0 _aImage processing.
650 0 _aOptical data processing.
650 0 _aRobotics.
650 0 _aSignal processing.
650 0 _aSpeech processing systems.
650 1 4 _aRobotics and Automation.
650 2 4 _aArtificial Intelligence.
650 2 4 _aCognitive Psychology.
650 2 4 _aControl and Systems Theory.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aSignal, Image and Speech Processing.
776 0 8 _iPrint version:
_tRobotics, vision and control.
_z9783319544120
_w(DLC) 2017934638
776 0 8 _iPrinted edition:
_z9783319544120
776 0 8 _iPrinted edition:
_z9783319544144
830 0 _aSpringer Tracts in Advanced Robotics,
_v118
906 _a0
_bibc
_corigres
_du
_encip
_f20
_gy-gencatlg
942 _2ddc
_cBK
999 _c170776
_d170776