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Planning Algorithms / Steven M. LaValle (University of Illinois)

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Cambridge ; New York ; Melbourne ; Madrid ; Cape Town ; Singapore ; São Paulo : Cambridge University Press, 2006Description: 1 Online-Ressource (xvi, 826 Seiten)ISBN:
  • 9780511546877
Subject(s): Additional physical formats: 9780521862059. | Erscheint auch als: Planning algorithms. Druck-Ausgabe 1. publ. New York, NY [u.a.] : Cambridge University Press, 2006. XVI, 826 S.DDC classification:
  • 629.8932
  • 629.8/932
MSC: MSC: *68T20 | 68T40 | 68-01RVK: RVK: ST 690 | ST 136Local classification: Lokale Notation: masch 8.2LOC classification:
  • TJ211.4
DOI: DOI: 10.1017/CBO9780511546877Online resources: Summary: Planning 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 biologyPPN: PPN: 883406209Package identifier: Produktsigel: ZDB-20-CTM | ZDB-20-CBO
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