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Plan-Based Control of Robotic Agents [[electronic resource] ] : Improving the Capabilities of Autonomous Robots / / by Michael Beetz



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Autore: Beetz Michael Visualizza persona
Titolo: Plan-Based Control of Robotic Agents [[electronic resource] ] : Improving the Capabilities of Autonomous Robots / / by Michael Beetz Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002
Edizione: 1st ed. 2002.
Descrizione fisica: 1 online resource (XI, 194 p.)
Disciplina: 629.892
Soggetto topico: Robotics
Automation
Artificial intelligence
Computer science
Computer communication systems
Special purpose computers
Control engineering
Mechatronics
Robotics and Automation
Artificial Intelligence
Computer Science, general
Computer Communication Networks
Special Purpose and Application-Based Systems
Control, Robotics, Mechatronics
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Overview of the Control System -- Plan Representation for Robotic Agents -- Probabilistic Hybrid Action Models -- Learning Structured Reactive Navigation Plans -- Plan-Based Robotic Agents -- Conclusions.
Sommario/riassunto: 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.
Titolo autorizzato: Plan-based control of robotic agents  Visualizza cluster
ISBN: 3-540-36381-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465743703316
Lo trovi qui: Univ. di Salerno
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Serie: Lecture Notes in Artificial Intelligence ; ; 2554