000 02380nam a22003618i 4500
001 CR9781139381284
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006 m|||||o||d||||||||
007 cr||||||||||||
008 141103s2013||||enk o ||1 0|eng|d
020 _a9781139381284 (ebook)
020 _z9781107031159 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aTJ211.415
_b.K39 2013
082 0 0 _a629.8/932
_223
100 1 _aKelly, Alonzo,
_eauthor.
245 1 0 _aMobile robotics :
_bmathematics, models and methods /
_cAlonzo Kelly, Carnegie Mellon University.
264 1 _aCambridge :
_bCambridge University Press,
_c2013.
300 _a1 online resource (xiv, 701 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 _aIntroduction -- Math fundamentals -- Numerical methods -- Dynamics -- Optimal estimation -- State estimation -- Control -- Perception -- Localization and mapping -- Motion planning.
520 _aMobile Robotics offers comprehensive coverage of the essentials of the field suitable for both students and practitioners. Adapted from Alonzo Kelly's graduate and undergraduate courses, the content of the book reflects current approaches to developing effective mobile robots. Professor Kelly adapts principles and techniques from the fields of mathematics, physics and numerical methods to present a consistent framework in a notation that facilitates learning and highlights relationships between topics. This text was developed specifically to be accessible to senior level undergraduates in engineering and computer science, and includes supporting exercises to reinforce the lessons of each section. Practitioners will value Kelly's perspectives on practical applications of these principles. Complex subjects are reduced to implementable algorithms extracted from real systems wherever possible, to enhance the real-world relevance of the text.
650 0 _aMobile robots
_vTextbooks.
776 0 8 _iPrint version:
_z9781107031159
856 4 0 _uhttps://doi.org/10.1017/CBO9781139381284
907 _a.b16845468
_b2020-12-22
_c2020-12-22
942 _n0
998 _a1
_b2020-12-22
_cm
_da
_feng
_genk
_y0
_z.b16845468
999 _c651889
_d651889