LEADER 01714nam 2200469 450 001 996490367303316 005 20230114102226.0 010 $a3-031-15908-X 035 $a(MiAaPQ)EBC7080203 035 $a(Au-PeEL)EBL7080203 035 $a(CKB)24778994100041 035 $a(PPN)264952812 035 $a(EXLCZ)9924778994100041 100 $a20230114d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aTowards autonomous robotic systems $e23rd annual conference, TAROS 2022, Culham, UK, September 7-9, 2022, proceedings /$fSalvador Pacheco-Gutierrez [and four others], editors 210 1$aCham, Switzerland :$cSpringer Nature Switzerland AG,$d[2022] 210 4$dİ2022 215 $a1 online resource (333 pages) 225 1 $aLecture Notes in Arti?cial Intelligence ;$v13546 311 08$aPrint version: Pacheco-Gutierrez, Salvador Towards Autonomous Robotic Systems Cham : Springer International Publishing AG,c2022 9783031159077 320 $aIncludes bibliographical references and index. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence ;$v13546. 606 $aHuman-robot interaction 606 $aAutonomous robots 606 $aMachine learning$vCongresses 615 0$aHuman-robot interaction. 615 0$aAutonomous robots. 615 0$aMachine learning 676 $a629.892 702 $aPacheco-Gutierrez$b Salvador 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996490367303316 996 $aTowards Autonomous Robotic Systems$92912195 997 $aUNISA