Parametric POMDPs: Planning in continuous spaces for mobile robot navigation
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1
Symbolbild
Parametric Pomdps
DE PB NWISBN: 9783639156270 bzw. 3639156277, in Deutsch, VDM Verlag, Taschenbuch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Paperback. 216 pages. Dimensions: 8.5in. x 5.9in. x 0.7in.This book is concerned with planning and acting under uncertainty in partially-observable continuous domains. It focusses on the problem of mobile robot navigation given a known map. The ***nt paradigm for robot localisation is to use Bayesian estimation to maintain a probability distribution over possible robot poses. In contrast, control algorithms often base their decisions on the assumption that the most likely state is correct, rather than considering the entire distribution. This book formulates an approach to planning in the space of continuous parameterised approximations to probability distributions. Theoretical and practical results are presented which show that, when compared with similar methods from the literature, this approach is capable of scaling to larger and more realistic problems. The algorithms have been implemented and demonstrated during real-time control of a mobile robot in a challenging navigation task. Results show that this approach produces significantly more robust behaviour when compared with heuristic planners which consider only the most likely states and outcomes. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Paperback. 216 pages. Dimensions: 8.5in. x 5.9in. x 0.7in.This book is concerned with planning and acting under uncertainty in partially-observable continuous domains. It focusses on the problem of mobile robot navigation given a known map. The ***nt paradigm for robot localisation is to use Bayesian estimation to maintain a probability distribution over possible robot poses. In contrast, control algorithms often base their decisions on the assumption that the most likely state is correct, rather than considering the entire distribution. This book formulates an approach to planning in the space of continuous parameterised approximations to probability distributions. Theoretical and practical results are presented which show that, when compared with similar methods from the literature, this approach is capable of scaling to larger and more realistic problems. The algorithms have been implemented and demonstrated during real-time control of a mobile robot in a challenging navigation task. Results show that this approach produces significantly more robust behaviour when compared with heuristic planners which consider only the most likely states and outcomes. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
2
Parametric POMDPs (2009)
DE PB NW RPISBN: 9783639156270 bzw. 3639156277, in Deutsch, Vdm Verlag Jun 2009, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, NDS, Germany.
This item is printed on demand - Print on Demand Titel. - This book is concerned with planning and acting under uncertainty in partially-observable continuous domains. It focusses on the problem of mobile robot navigation given a known map. The ***nt paradigm for robot localisation is to use Bayesian estimation to maintain a probability distribution over possible robot poses. In contrast, control algorithms often base their decisions on the assumption that the most likely state is correct, rather than considering the entire distribution. This book formulates an approach to planning in the space of continuous parameterised approximations to probability distributions. Theoretical and practical results are presented which show that, when compared with similar methods from the literature, this approach is capable of scaling to larger and more realistic problems. The algorithms have been implemented and demonstrated during real-time control of a mobile robot in a challenging navigation task. Results show that this approach produces significantly more robust behaviour when compared with heuristic planners which consider only the most likely states and outcomes. 216 pp. Englisch.
This item is printed on demand - Print on Demand Titel. - This book is concerned with planning and acting under uncertainty in partially-observable continuous domains. It focusses on the problem of mobile robot navigation given a known map. The ***nt paradigm for robot localisation is to use Bayesian estimation to maintain a probability distribution over possible robot poses. In contrast, control algorithms often base their decisions on the assumption that the most likely state is correct, rather than considering the entire distribution. This book formulates an approach to planning in the space of continuous parameterised approximations to probability distributions. Theoretical and practical results are presented which show that, when compared with similar methods from the literature, this approach is capable of scaling to larger and more realistic problems. The algorithms have been implemented and demonstrated during real-time control of a mobile robot in a challenging navigation task. Results show that this approach produces significantly more robust behaviour when compared with heuristic planners which consider only the most likely states and outcomes. 216 pp. Englisch.
3
Symbolbild
Parametric POMDPs (2009)
DE PB NW RPISBN: 9783639156270 bzw. 3639156277, in Deutsch, Vdm Verlag Jun 2009, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Titel. - This book is concerned with planning and acting under uncertainty in partially-observable continuous domains. It focusses on the problem of mobile robot navigation given a known map. The ***nt paradigm for robot localisation is to use Bayesian estimation to maintain a probability distribution over possible robot poses. In contrast, control algorithms often base their decisions on the assumption that the most likely state is correct, rather than considering the entire distribution. This book formulates an approach to planning in the space of continuous parameterised approximations to probability distributions. Theoretical and practical results are presented which show that, when compared with similar methods from the literature, this approach is capable of scaling to larger and more realistic problems. The algorithms have been implemented and demonstrated during real-time control of a mobile robot in a challenging navigation task. Results show that this approach produces significantly more robust behaviour when compared with heuristic planners which consider only the most likely states and outcomes. 216 pp. Englisch.
This item is printed on demand - Print on Demand Titel. - This book is concerned with planning and acting under uncertainty in partially-observable continuous domains. It focusses on the problem of mobile robot navigation given a known map. The ***nt paradigm for robot localisation is to use Bayesian estimation to maintain a probability distribution over possible robot poses. In contrast, control algorithms often base their decisions on the assumption that the most likely state is correct, rather than considering the entire distribution. This book formulates an approach to planning in the space of continuous parameterised approximations to probability distributions. Theoretical and practical results are presented which show that, when compared with similar methods from the literature, this approach is capable of scaling to larger and more realistic problems. The algorithms have been implemented and demonstrated during real-time control of a mobile robot in a challenging navigation task. Results show that this approach produces significantly more robust behaviour when compared with heuristic planners which consider only the most likely states and outcomes. 216 pp. Englisch.
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Parametric POMDPs: Planning in continuous spaces for mobile robot navigation
DE USISBN: 9783639156270 bzw. 3639156277, in Deutsch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, gebraucht.
Von Händler/Antiquariat, BookSleuth [58350165], Milpitas, CA, U.S.A.
Parametric POMDPs: Planning in continuous spaces for mobile robot navigation.
Parametric POMDPs: Planning in continuous spaces for mobile robot navigation.
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A: Parametric POMDPs (2009)
~EN PB NWISBN: 9783639156270 bzw. 3639156277, vermutlich in Englisch, VDM, Taschenbuch, neu.
Lieferung aus: Schweiz, Versandfertig innert 3 Wochen.
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