000			02146nam a22003258i 4500
001			CR9780511546877
003			UkCbUP
005			20200124160255.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090508s2006||||enk o ||1 0|eng|d
020			_a9780511546877 (ebook)
020			_z9780521862059 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTJ211.4 _b.L385 2006
082	0	0	_a629.8/932 _222
100	1		_aLaValle, Steven Michael, _d1968- _eauthor.
245	1	0	_aPlanning algorithms / _cSteven M. LaValle.
264		1	_aCambridge : _bCambridge University Press, _c2006.
300			_a1 online resource (xvi, 826 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).
520			_aPlanning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. This coherent and comprehensive book unifies material from several sources, including robotics, control theory, artificial intelligence, and algorithms. The treatment is centered on robot motion planning, but integrates material on planning in discrete spaces. A major part of the book is devoted to planning under uncertainty, including decision theory, Markov decision processes, and information spaces, which are the 'configuration spaces' of all sensor-based planning problems. The last part of the book delves into planning under differential constraints that arise when automating the motions of virtually any mechanical system. This text and reference is intended for students, engineers, and researchers in robotics, artificial intelligence, and control theory as well as computer graphics, algorithms, and computational biology.
650		0	_aRobots _xMotion _xPlanning.
650		0	_aAlgorithms.
776	0	8	_iPrint version: _z9780521862059
856	4	0	_uhttps://doi.org/10.1017/CBO9780511546877
999			_c519820 _d519818