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Record Nr. |
UNISA996465743703316 |
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Autore |
Beetz Michael |
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Titolo |
Plan-Based Control of Robotic Agents [[electronic resource] ] : Improving the Capabilities of Autonomous Robots / / by Michael Beetz |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
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ISBN |
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Edizione |
[1st ed. 2002.] |
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Descrizione fisica |
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1 online resource (XI, 194 p.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 2554 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Overview of the Control System -- Plan Representation for Robotic Agents -- Probabilistic Hybrid Action Models -- Learning Structured Reactive Navigation Plans -- Plan-Based Robotic Agents -- Conclusions. |
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Sommario/riassunto |
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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 |
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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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