Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots
Michael Beetz
ISBN 10: 3540003355 ISBN 13: 9783540003359
Published by Springer Berlin Heidelberg, 2008
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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. Seller Inventory # E-521-625
Synopsis:
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.
"About this title" may belong to another edition of this title.
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Title: Plan-Based Control of Robotic Agents: ...
Publisher: Springer Berlin Heidelberg
Publication Date: 2008
Binding: Softcover
Condition: Très bon
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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. Seller Inventory # 72088
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Softcover. Condition: 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. Seller Inventory # 18016
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Plan-Based Control of Robotic Agents
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes supplementary material: sn.pub/extrasRobotic 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 . Seller Inventory # 4877098
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Plan-Based Control of Robotic Agents | Improving the Capabilities of Autonomous Robots
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Taschenbuch. Condition: Neu. Plan-Based Control of Robotic Agents | Improving the Capabilities of Autonomous Robots | Michael Beetz | Taschenbuch | xi | Englisch | 2002 | Springer | EAN 9783540003359 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 102559191
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Plan-Based Control of Robotic Agents
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch. Seller Inventory # 9783540003359
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Plan-Based Control of Robotic Agents : Improving the Capabilities of Autonomous Robots
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Taschenbuch. Condition: 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. Seller Inventory # 9783540003359
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Plan-Based Control of Robotic Agents
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ISBN 13: 9783540003359
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 208 pp. Englisch. Seller Inventory # 9783540003359
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Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots (Lecture Notes in Computer Science, 2554)
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