Plan-Based Control of Robotic Agents | Improving the Capabilities of Autonomous Robots
Michael Beetz
ISBN 10: 3540003355 ISBN 13: 9783540003359
Verlag: Springer-Verlag GmbH, 2002
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Plan-Based Control of Robotic Agents | Improving the Capabilities of Autonomous Robots | Michael Beetz | Taschenbuch | xi | Englisch | 2002 | Springer-Verlag GmbH | EAN 9783540003359 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 102559191
Inhaltsangabe:
Robotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit opportunities, quickly plan their course of action, and, if necessary, revise their intended activities.
This book makes three major contributions to improving the capabilities of robotic agents:
- first, a plan representation method is introduced which allows for specifying flexible and reliable behavior
- second, probabilistic hybrid action models are presented as a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans
- third, the system XFRMLEARN capable of learning structured symbolic navigation plans is described in detail.
Reseña del editor:
Robotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit opportunities, quickly plan their course of action, and, if necessary, revise their intended activities.
This book makes three major contributions to improving the capabilities of robotic agents:
- first, a plan representation method is introduced which allows for specifying flexible and reliable behavior
- second, probabilistic hybrid action models are presented as a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans
- third, the system XFRMLEARN capable of learning structured symbolic navigation plans is described in detail.
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Titel: Plan-Based Control of Robotic Agents | ...
Verlag: Springer-Verlag GmbH
Erscheinungsdatum: 2002
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Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots
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Softcover. Zustand: Très bon. Ancien livre de bibliothèque. Edition 2008. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2008. Ammareal gives back up to 15% of this item's net price to charity organizations. Artikel-Nr. E-521-625
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ISBN 13: 9783540003359
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Plan-based control of robotic agents. improving the capabilities of autonomous robots.
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23 cm. original paperback. 192 pp. bibliography. "Lecture Notes in Computer Science". -(libr labels, library stamp, otherwise (very) good). 320g. Artikel-Nr. 72088
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Softcover. Zustand: Gut. Gebraucht - Gut Zustand: Gut, XI, 191 p. Also available online. About this book About this book Robotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit opportunities, quickly plan their course of action, and, if necessary, revise their intended activities. This book makes three major contributions to improving the capabilities of robotic agents: - first, a plan representation method is introduced which allows for specifying flexible and reliable behavior - second, probabilistic hybrid action models are presented as a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans - third, the system XFRMLEARN capable of learning structured symbolic navigation plans is described in detail. Written for researchers and professionals. Artikel-Nr. 18016
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Robotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit opportunities, quickly plan their course of action, and, if necessary, revise their intended activities.This book makes three major contributions to improving the capabilities of robotic agents:- first, a plan representation method is introduced which allows for specifying flexible andreliable behavior - second, probabilistic hybrid action models are presented as a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans - third, the system XFRMLEARN capable of learning structured symbolic navigation plans is described in detail. Artikel-Nr. 9783540003359
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