| M. Branicky, S. M. LaValle, K. Olsen, and L. Yang. Quasi-randomized path planning. In Proc. IEEE Int'l Conf. on Robotics and Automation, pages 1481-- 1487, 2001. |
....par leur g en ericit e et par leur capacit e a attaquer des probl emes de grande dimension. L efficacit e de ces m ethodes reste cependant mieux constat ee que comprise. La mod elisation formelle du comportement en moyenne de ces algorithmes est un probl eme difficile. Des travaux tr es r ecents [9] montrent que l echantillonnage al eatoire n est pas la strat egie optimale d echantillonnage. Les g en erateurs de nombres al eatoires produisent en fait une s equence d eterministe de nombres calcul es de mani ere a satisfaire un crit ere de densit e de probabilit e uniforme. On peut alors se ....
....en fait une s equence d eterministe de nombres calcul es de mani ere a satisfaire un crit ere de densit e de probabilit e uniforme. On peut alors se demander si d autres s equences d eterministes ne permettraient pas de r esoudre plus efficacement le probl eme. D ou l id ee explor ee dans [9] d utiliser des techniques quasi al eatoires dont l efficacit e a d ej a et e d emontr ee dans plusieurs domaines, en particulier celui de l optimisation avec les m ethodes de type Quasi MonteCarlo. Figure 13: Echantillonnage al eatoire (gauche) vs. quasial eatoire (droite) 9] La figure 13 ....
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M. Branicky, S. Lavalle, K. Olson and L. Yang. Quasirandomized path planning. IEEE International Conference on Robotics and Automation, Seoul(Korea), 2001.
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M. Branicky, S. M. LaValle, K. Olsen, and L. Yang. Quasi-randomized path planning. In Proc. IEEE Int'l Conf. on Robotics and Automation, pages 1481-- 1487, 2001.
No context found.
M. S. Branicky, S. M. LaValle, K. Olson, and L. Yang. Quasi-randomized path planning. In pages 1481--1487, 2001. 7
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M. Branicky, S. M. LaValle, K. Olsen, and L. Yang. Quasi-randomized path planning. In Proc. IEEE Int'l Conf. on Robotics and Automation, pages 1481--1487, 2001.
No context found.
M. Branicky, S. M. LaValle, K. Olsen, and L. Yang. Quasi-randomized path planning. In Proc. IEEE Int'l Conf. on Robotics and Automation, pages 1481--1487, 2001.
No context found.
M. Branicky, S. M. LaValle, K. Olsen, and L. Yang. Quasi-randomized path planning. In Proc. IEEE Int'l Conf. on Robotics and Automation, pages 1481-- 1487, 2001.
No context found.
M. S. Branicky, S. M. LaValle, K. Olson, and L. Yang. Quasi-randomized path planning. In Proc. IEEE Int'l Conf. on Robotics and Automation, pages 1481--1487, 2001.
No context found.
M. Branicky, S. M. LaValle, K. Olsen, and L. Yang. Quasi-randomized path planning. In Proc. IEEE Int'l Conf. on Robotics and Automation, pages 1481--1487, 2001.
No context found.
M.S. Branicky, S.M. LaValle, K. Olson, and L. Yang. Quasi-randomized path planning. Proc. IEEE Intl. Conf. Robotics and Automation, pp. 1481--1487, Seoul, KOREA, May 2001.
No context found.
M. Branicky, S. M. LaValle, K. Olsen, and L. Yang. Quasi-randomized path planning. In Proc. IEEE Int'l Conf. on Robotics and Automation, pages 1481-- 1487, 2001. 14
....roadmap setup time. Section V presents some analysis, including deterministic guarantees that our planners succeed, which is not possible in the case of randomized planners. Finally, some conclusions are presented in Section VI. Parts of the work presented here were presented in earlier form in [9]. II. Sampling Methods Deterministic sampling techniques have been developed by numerous mathematicians over the past century. Excellent overviews of the subject include [32] 35] A brief treatment, speci c to our problem, is presented here. A. Sampling Criteria Let X = 0; 1] R de ....
M. Branicky, S. M. LaValle, K. Olson, and L. Yang. Quasirandomized path planning. In IEEE Int. Conf. Robot. & Autom. , pages 1481-1487, 2001.
.... Most randomized planning methods are designed for the generalized mover s problem, including randomized potential fields [2, 10, 19] probabilistic roadmaps [1, 18] Ariande s clew algorithm [28, 27] and the planners in [17, 33] Derandomization of some of these algorithms has been explored in [6, 7]. Many path planning methods, including dynamic programming and most of the randomized planning methods can be categorized as incremental search methods. In these methods a tree (or two trees in the bidirectional version) is grown incrementally from the initial state by adding a new edge and ....
M.S. Branicky, S.M. LaValle, K. Olson, and L. Yang. Quasi-randomized path planning. Proc. IEEE International Conf. Robotics and Automation, pp. 1481--1487, Seoul, KOREA, May 2001.
No context found.
Michael S. Branicky, Steven M. LaValle, Kari Olson, and Libo Yang. Quasi-randomized path planning. In Proc. IEEE Int. Conf. Robot. & Autom. (ICRA), 2001.
No context found.
M. Branicky, S. LaValle, K. Olson, L. Yang; Quasi-randomized path planning, Proc. IEEE Int. Conf. on Robotics and Automation, 2001, pp. 1481-1487.
No context found.
M. Branicky, S. LaValle, K. Olson, L. Yang, Quasi-randomized path planning, Proc. IEEE Int. Conf. on Robotics and Automation, 2001, pp. 1481--1487.
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