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Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots (Lecture Notes in Computer Science, 2554, Band 2554) - Softcover

Beetz, Michael

 
9783540003359: Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots (Lecture Notes in Computer Science, 2554, Band 2554)
Softcover
ISBN 10: 3540003355 ISBN 13: 9783540003359
Verlag: Springer Berlin Heidelberg, 2008

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

PD Dr. Michael Beetz ist wissenschaftlicher Mitarbeiter am Institut für Soziologie der Universität Jena. Tobias Franzheld ist wissenschaftlicher Mitarbeiter am Fachbereich Humanwissenschaften der Universität Kassel.

Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer Berlin Heidelberg
Erscheinungsdatum
2008
Sprache
Englisch
ISBN 10 
3540003355
ISBN 13 
9783540003359
Einband
Taschenbuch
Anzahl der Seiten
205
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