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Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots: 2554 - Brossura
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Overview of the Control System.- Plan Representation for Robotic Agents.- Probabilistic Hybrid Action Models.- Learning Structured Reactive Navigation Plans.- Plan-Based Robotic Agents.- Conclusions.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots
Editore:
Springer Berlin Heidelberg, 2008
ISBN 10: 3540003355
ISBN 13: 9783540003359
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Da: Ammareal, Morangis, Francia
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Softcover. Condizione: 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. Codice articolo E-521-625
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Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots.
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Berlin Springer Verlag, 2002
ISBN 10: 3540003355
ISBN 13: 9783540003359
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Da: CSG Onlinebuch GMBH, Darmstadt, Germania
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Softcover. Condizione: 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. Codice articolo 18016
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Plan-based control of robotic agents. improving the capabilities of autonomous robots.
Da: Emile Kerssemakers ILAB, Heerlen, Paesi Bassi
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23 cm. original paperback. 192 pp. bibliography. "Lecture Notes in Computer Science". -(libr labels, library stamp, otherwise (very) good). 320g. Codice articolo 72088
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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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Plan-Based Control of Robotic Agents : Improving the Capabilities of Autonomous Robots
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Plan-Based Control of Robotic Agents (Paperback)
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2002
ISBN 10: 3540003355
ISBN 13: 9783540003359
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Paperback. Condizione: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 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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Plan-Based Control of Robotic Agents
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Springer Berlin Heidelberg Dez 2002, 2002
ISBN 10: 3540003355
ISBN 13: 9783540003359
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783540003359
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Plan-Based Control of Robotic Agents : Improving the Capabilities of Autonomous Robots
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Plan-Based Control of Robotic Agents
Editore:
Springer Berlin Heidelberg, 2002
ISBN 10: 3540003355
ISBN 13: 9783540003359
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Kartoniert / Broschiert. Condizione: 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 . Codice articolo 4877098
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