LEADER 03550nam 22007215 450 001 996465844703316 005 20200702151704.0 010 $a3-540-40044-3 024 7 $a10.1007/3-540-40044-3 035 $a(CKB)1000000000211242 035 $a(SSID)ssj0000321019 035 $a(PQKBManifestationID)11246883 035 $a(PQKBTitleCode)TC0000321019 035 $a(PQKBWorkID)10276812 035 $a(PQKB)10558662 035 $a(DE-He213)978-3-540-40044-8 035 $a(MiAaPQ)EBC3072774 035 $a(PPN)155215469 035 $a(EXLCZ)991000000000211242 100 $a20121227d2000 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Robot Learning$b[electronic resource] $e8th European Workhop on Learning Robots, EWLR-8 Lausanne, Switzerland, September 18, 1999 Proceedings /$fedited by Jeremy Wyatt, John Demiris 205 $a1st ed. 2000. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2000. 215 $a1 online resource (VIII, 172 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v1812 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-41162-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aMap Building through Self-Organisation for Robot Navigation -- Learning a Navigation Task in Changing Environments by Multi-task Reinforcement Learning -- Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically?Rearranging Neural Network Approach -- How Does a Robot Find Redundancy by Itself? -- Learning Robot Control by Relational Concept Induction with Iteratively Collected Examples -- Reinforcement Learning in Situated Agents: Theoretical Problems and Practical Solutions -- A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment -- Probabilistic and Count Methods in Map Building for Autonomous Mobile Robots -- Biologically-Inspired Visual Landmark Learning for Mobile Robots. 410 0$aLecture Notes in Artificial Intelligence ;$v1812 606 $aArtificial intelligence 606 $aRobotics 606 $aAutomation 606 $aComputer simulation 606 $aControl engineering 606 $aMechatronics 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aControl, Robotics, Mechatronics$3https://scigraph.springernature.com/ontologies/product-market-codes/T19000 615 0$aArtificial intelligence. 615 0$aRobotics. 615 0$aAutomation. 615 0$aComputer simulation. 615 0$aControl engineering. 615 0$aMechatronics. 615 14$aArtificial Intelligence. 615 24$aRobotics and Automation. 615 24$aSimulation and Modeling. 615 24$aControl, Robotics, Mechatronics. 676 $a629.8/9263 702 $aWyatt$b Jeremy$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDemiris$b John$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aEuropean Workshop on Learning Robots 906 $aBOOK 912 $a996465844703316 996 $aAdvances in Robot Learning$91980336 997 $aUNISA