LEADER 01083cam0-22003131i-450- 001 990004574370403321 005 20160902131833.0 035 $a000457437 035 $aFED01000457437 035 $a(Aleph)000457437FED01 035 $a000457437 100 $a19990604d1957----km-y0itay50------ba 101 2 $alat$aeng 105 $ay-------001yy 200 1 $aThasci Caecili Cypriani De bono patientiae$ea traslation with an introduction and a commentary$fby Sister M. George Edward Conway 210 $aWashington$cCatholic University of America$d1957 215 $aXX, 193 p.$d23 cm 225 1 $aPatristic studies$fThe Catholic University of America$v92 500 10$aDe bono patientiae$m$945111 676 $a870.01 700 1$aCyprianus,$bThascius Caecilius$f$0269383 702 1$aConway,$bGeorge Edward 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004574370403321 952 $aP2B-650-CYPRIANUS-405A-1957$bBibl. 32477$fFLFBC 959 $aFLFBC 996 $aDe bono patientiae$945111 997 $aUNINA LEADER 03086nam 22006015 450 001 9910590091103321 005 20251113185747.0 010 $a9783031069673$b(electronic bk.) 010 $z9783031069666 024 7 $a10.1007/978-3-031-06967-3 035 $a(MiAaPQ)EBC7079656 035 $a(Au-PeEL)EBL7079656 035 $a(CKB)24767773900041 035 $a(PPN)264191617 035 $a(OCoLC)1344161444 035 $a(DE-He213)978-3-031-06967-3 035 $a(EXLCZ)9924767773900041 100 $a20220831d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIn-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands /$fby Martin Pfanne 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (213 pages) 225 1 $aSpringer Tracts in Advanced Robotics,$x1610-742X ;$v149 311 08$aPrint version: Pfanne, Martin In-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands Cham : Springer International Publishing AG,c2022 9783031069666 327 $aIntroduction -- Related Work -- Grasp Modeling -- Grasp State Estimation -- Impedance-based Object Control -- Conclusion. . 330 $aThis book introduces a novel model-based dexterous manipulation framework, which, thanks to its precision and versatility, significantly advances the capabilities of robotic hands compared to the previous state of the art. This is achieved by combining a novel grasp state estimation algorithm, the first to integrate information from tactile sensing, proprioception and vision, with an impedance-based in-hand object controller, which enables leading manipulation capabilities, including finger gaiting. The developed concept is implemented on one of the most advanced robotic manipulators, the DLR humanoid robot David, and evaluated in a range of challenging real-world manipulation scenarios and tasks. This book greatly benefits researchers in the field of robotics that study robotic hands and dexterous manipulation topics, as well as developers and engineers working on industrial automation applications involving grippers and robotic manipulators. 410 0$aSpringer Tracts in Advanced Robotics,$x1610-742X ;$v149 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aControl, Robotics, Automation 606 $aControl and Systems Theory 606 $aRobotics 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 14$aControl, Robotics, Automation. 615 24$aControl and Systems Theory. 615 24$aRobotics. 676 $a629.892 676 $a629.8933 700 $aPfanne$b Martin$01254688 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910590091103321 996 $aIn-Hand Object Localization and Control$92908883 997 $aUNINA