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Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots (Hardcover, 1st ed. 2020): Tomasz Piotr Kucner, Achim J.... Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots (Hardcover, 1st ed. 2020)
Tomasz Piotr Kucner, Achim J. Lilienthal, Martin Magnusson, Luigi Palmieri, Chittaranjan Srinivas Swaminathan
R3,268 Discovery Miles 32 680 Ships in 10 - 15 working days

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.

Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots (Paperback, 1st ed. 2020): Tomasz Piotr Kucner, Achim J.... Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots (Paperback, 1st ed. 2020)
Tomasz Piotr Kucner, Achim J. Lilienthal, Martin Magnusson, Luigi Palmieri, Chittaranjan Srinivas Swaminathan
R3,268 Discovery Miles 32 680 Ships in 10 - 15 working days

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.

Fabrikorganisation, Fabrikbuchfuhrung und Selbstkostenberechnung der Ludw. Loewe & Co. A.-G., Berlin - Mit Genehmigung der... Fabrikorganisation, Fabrikbuchfuhrung und Selbstkostenberechnung der Ludw. Loewe & Co. A.-G., Berlin - Mit Genehmigung der Direktion zusammengestellt und erlautert (German, Paperback, 3. Aufl. 1925. Softcover reprint of the original 3rd ed. 1925)
J Lilienthal, G. Schlesinger, Wilhelm Muller
R1,849 Discovery Miles 18 490 Ships in 10 - 15 working days

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfangen des Verlags von 1842 erschienen sind. Der Verlag stellt mit diesem Archiv Quellen fur die historische wie auch die disziplingeschichtliche Forschung zur Verfugung, die jeweils im historischen Kontext betrachtet werden mussen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ideologischen Ausrichtung vom Verlag nicht beworben.

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