"Robotic Mapping and Exploration" is an important contribution in the area of simultaneous localization and mapping (SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous mapping learning problem. Solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments. Results are accompanied by a rich set of experiments, revealing a promising outlook toward the application to a wide range of mobile robots and field settings, such as search and rescue, transportation tasks, or automated vacuum cleaning.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This book examines simultaneous localization and mapping (SLAM) for autonomous robots. Solutions include uncertainty-driven exploration, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Robotic Mapping and Exploration' is an important contribution in the area of simultaneous localization and mapping(SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous mapping learning problem. Solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments. Results are accompanied by a rich set of experiments, revealing a promising outlook toward the application to a wide range of mobile robots and field settings, such as search and rescue, transportation tasks, or automated vacuum cleaning. 216 pp. Englisch. N° de réf. du vendeur 9783642101687
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research in the area of self-localization and mapping (SLAM) for autonomous robots The presented solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background k. N° de réf. du vendeur 5049145
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Taschenbuch. Etat : Neu. Robotic Mapping and Exploration | Cyrill Stachniss | Taschenbuch | xviii | Englisch | 2010 | Springer | EAN 9783642101687 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 107014099
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Robotic Mapping and Exploration' is an important contribution in the area of simultaneous localization and mapping (SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous mapping learning problem. Solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments. Results are accompanied by a rich set of experiments, revealing a promising outlook toward the application to a wide range of mobile robots and field settings, such as search and rescue, transportation tasks, or automated vacuum cleaning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch. N° de réf. du vendeur 9783642101687
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Robotic Mapping and Exploration' is an important contribution in the area of simultaneous localization and mapping(SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous mapping learning problem. Solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments. Results are accompanied by a rich set of experiments, revealing a promising outlook toward the application to a wide range of mobile robots and field settings, such as search and rescue, transportation tasks, or automated vacuum cleaning. N° de réf. du vendeur 9783642101687
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