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Ajouter au panierTaschenbuch. Etat : Neu. Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots | Tomasz Piotr Kucner (u. a.) | Taschenbuch | xxv | Englisch | 2021 | Springer | EAN 9783030418106 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ajouter au panierHardcover. Etat : Brand New. 176 pages. 9.50x6.50x0.75 inches. In Stock.
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Ajouter au panierEtat : New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Langue: anglais
Edité par Springer International Publishing, 2021
ISBN 10 : 3030418103 ISBN 13 : 9783030418106
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes how robots can make sense of motion in their surroundings and use the patterns they observe to blend in better in dynamic environments shared with humans.The world around us is constantly changing. Nonetheless, we can find our way and aren't overwhelmed by all the buzz, since motion often follows discernible patterns. Just like humans, robots need to understand the patterns behind the dynamics in their surroundings to be able to efficiently operate e.g. in a busy airport. Yet robotic mapping has traditionally been based on the static world assumption, which disregards motion altogether. In this book, the authors describe how robots can instead explicitly learn patterns of dynamic change from observations, store those patterns in Maps of Dynamics (MoDs), and use MoDs to plan less intrusive, safer and more efficient paths. The authors discuss the pros and cons of recently introduced MoDs and approaches to MoD-informed motion planning, and provide an outlook on future work in this emerging, fascinating field.
Langue: anglais
Edité par Springer International Publishing, 2020
ISBN 10 : 3030418073 ISBN 13 : 9783030418076
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes how robots can make sense of motion in their surroundings and use the patterns they observe to blend in better in dynamic environments shared with humans.The world around us is constantly changing. Nonetheless, we can find our way and aren't overwhelmed by all the buzz, since motion often follows discernible patterns. Just like humans, robots need to understand the patterns behind the dynamics in their surroundings to be able to efficiently operate e.g. in a busy airport. Yet robotic mapping has traditionally been based on the static world assumption, which disregards motion altogether. In this book, the authors describe how robots can instead explicitly learn patterns of dynamic change from observations, store those patterns in Maps of Dynamics (MoDs), and use MoDs to plan less intrusive, safer and more efficient paths. The authors discuss the pros and cons of recently introduced MoDs and approaches to MoD-informed motion planning, and provide an outlook on future work in this emerging, fascinating field.
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Ajouter au panierPaperback. Etat : New. New. book.
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer International Publishing Mrz 2020, 2020
ISBN 10 : 3030418073 ISBN 13 : 9783030418076
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes how robots can make sense of motion in their surroundings and use the patterns they observe to blend in better in dynamic environments shared with humans.The world around us is constantly changing. Nonetheless, we can find our way and aren't overwhelmed by all the buzz, since motion often follows discernible patterns. Just like humans, robots need to understand the patterns behind the dynamics in their surroundings to be able to efficiently operate e.g. in a busy airport. Yet robotic mapping has traditionally been based on the static world assumption, which disregards motion altogether. In this book, the authors describe how robots can instead explicitly learn patterns of dynamic change from observations, store those patterns in Maps of Dynamics (MoDs), and use MoDs to plan less intrusive, safer and more efficient paths. The authors discuss the pros and cons of recently introduced MoDs and approaches to MoD-informed motion planning, and provide an outlook on future work in this emerging, fascinating field. 180 pp. Englisch.
Langue: anglais
Edité par Springer International Publishing Mrz 2021, 2021
ISBN 10 : 3030418103 ISBN 13 : 9783030418106
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes how robots can make sense of motion in their surroundings and use the patterns they observe to blend in better in dynamic environments shared with humans.The world around us is constantly changing. Nonetheless, we can find our way and aren't overwhelmed by all the buzz, since motion often follows discernible patterns. Just like humans, robots need to understand the patterns behind the dynamics in their surroundings to be able to efficiently operate e.g. in a busy airport. Yet robotic mapping has traditionally been based on the static world assumption, which disregards motion altogether. In this book, the authors describe how robots can instead explicitly learn patterns of dynamic change from observations, store those patterns in Maps of Dynamics (MoDs), and use MoDs to plan less intrusive, safer and more efficient paths. The authors discuss the pros and cons of recently introduced MoDs and approaches to MoD-informed motion planning, and provide an outlook on future work in this emerging, fascinating field. 180 pp. Englisch.
Langue: anglais
Edité par Springer International Publishing, 2021
ISBN 10 : 3030418103 ISBN 13 : 9783030418106
Vendeur : moluna, Greven, Allemagne
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Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Investigates recent methods that make it possible to represent the broad range of real-world spatial motion patterns in a compact, yet meaningful way Primarily focuses on creating maps that capture the motion patterns of dynamic ob.
Langue: anglais
Edité par Springer International Publishing, 2020
ISBN 10 : 3030418073 ISBN 13 : 9783030418076
Vendeur : moluna, Greven, Allemagne
EUR 109,83
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Ajouter au panierGebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Investigates recent methods that make it possible to represent the broad range of real-world spatial motion patterns in a compact, yet meaningful way Primarily focuses on creating maps that capture the motion patterns of dynamic ob.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Ajouter au panierEtat : New. Print on Demand.
Langue: anglais
Edité par Springer, Springer International Publishing Mär 2020, 2020
ISBN 10 : 3030418073 ISBN 13 : 9783030418076
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes how robots can make sense of motion in their surroundings and use the patterns they observe to blend in better in dynamic environments shared with humans.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 180 pp. Englisch.
Langue: anglais
Edité par Springer, Springer International Publishing Mär 2021, 2021
ISBN 10 : 3030418103 ISBN 13 : 9783030418106
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes how robots can make sense of motion in their surroundings and use the patterns they observe to blend in better in dynamic environments shared with humans.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 180 pp. Englisch.
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Ajouter au panierEtat : New. PRINT ON DEMAND.