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035   $a(DE-He213)978-3-540-36381-1
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100   $a20121227d2002      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aPlan-Based Control of Robotic Agents $eImproving the Capabilities of Autonomous Robots /$fby Michael Beetz
205   $a1st ed. 2002.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2002.
215   $a1 online resource (XI, 194 p.) 
225 1 $aLecture Notes in Artificial Intelligence ;$v2554
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-00335-5 
320   $aIncludes bibliographical references.
327   $aOverview of the Control System -- Plan Representation for Robotic Agents -- Probabilistic Hybrid Action Models -- Learning Structured Reactive Navigation Plans -- Plan-Based Robotic Agents -- Conclusions.
330   $aRobotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit opportunities, quickly plan their course of action, and, if necessary, revise their intended activities. This book makes three major contributions to improving the capabilities of robotic agents: - first, a plan representation method is introduced which allows for specifying flexible and reliable behavior - second, probabilistic hybrid action models are presented as a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans - third, the system XFRMLEARN capable of learning structured symbolic navigation plans is described in detail.
410  0$aLecture Notes in Artificial Intelligence ;$v2554
606   $aRobotics
606   $aAutomation
606   $aArtificial intelligence
606   $aComputer science
606   $aComputer networks
606   $aComputers, Special purpose
606   $aAutomatic control
606   $aMechatronics
606   $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aComputer Science, general$3https://scigraph.springernature.com/ontologies/product-market-codes/I00001
606   $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022
606   $aSpecial Purpose and Application-Based Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I13030
606   $aControl, Robotics, Mechatronics$3https://scigraph.springernature.com/ontologies/product-market-codes/T19000
615  0$aRobotics.
615  0$aAutomation.
615  0$aArtificial intelligence.
615  0$aComputer science.
615  0$aComputer networks.
615  0$aComputers, Special purpose.
615  0$aAutomatic control.
615  0$aMechatronics.
615 14$aRobotics and Automation.
615 24$aArtificial Intelligence.
615 24$aComputer Science, general.
615 24$aComputer Communication Networks.
615 24$aSpecial Purpose and Application-Based Systems.
615 24$aControl, Robotics, Mechatronics.
676   $a629.892
700   $aBeetz$b Michael$4aut$4http://id.loc.gov/vocabulary/relators/aut$0542874
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910143888103321
996   $aPlan-based control of robotic agents$9955102
997   $aUNINA