LEADER 01201nam a2200301 i 4500 001 991001514539707536 005 20020502181001.0 008 981028s1984 it ||| | ita 020 $a8814000654 035 $ab10860137-39ule_inst 035 $aLE02370484$9ExL 040 $aDip.to Studi Storici$bita 082 0 $a342 084 $aC-XIV/B 100 1 $aGiovannelli, Adriano$0145049 245 10$aAspetti della 5. Repubblica, da De Gaulle a Mitterrand /$cAdriano Giovannelli 260 $aMilano :$bGiuffre,$c1984 300 $a319 p. ;$c23 cm 650 4$aFrancia$xOrdinamento istituzionale$y1958-1981 650 4$aFrancia$xPolitica$y1958-1981 740 0 $aAspetti della Quinta Repubblica, da De Gaulle a Mitterrand 907 $a.b10860137$b21-09-06$c28-06-02 912 $a991001514539707536 945 $aLE027 C-XIV/B 18$g1$i2027000259205$lle027$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i11752403$z02-07-02 945 $aLE023 342 GIO 1 1$g1$i2023000041932$lle023$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i10969895$z28-06-02 996 $aAspetti della 5. Repubblica, da De Gaulle a Mitterrand$967563 997 $aUNISALENTO 998 $ale027$ale023$b01-01-98$cm$da $e-$fita$git $h0$i1 LEADER 05086nam 22007815 450 001 9910403762603321 005 20250610110533.0 010 $a3-030-35679-5 024 7 $a10.1007/978-3-030-35679-8 035 $a(CKB)4100000011273799 035 $a(MiAaPQ)EBC6194946 035 $a(DE-He213)978-3-030-35679-8 035 $a(PPN)248396951 035 $a(MiAaPQ)EBC29093191 035 $a(EXLCZ)994100000011273799 100 $a20200508d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances on Robotic Item Picking $eApplications in Warehousing & E-Commerce Fulfillment /$fedited by Albert Causo, Joseph Durham, Kris Hauser, Kei Okada, Alberto Rodriguez 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (viii, 154 pages) $cillustrations 311 08$a3-030-35678-7 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- The challenges of automated item picking: the last mile of logistics for e-commerce -- Robotic Sensing for Item Picking -- Gripper Design and Grasping Strategies -- Machine Learning for Item Identification and Pose Estimation -- Machine Learning for Motion Planning -- Efficient Task Planning Strategies. 330 $aThis book is a compilation of advanced research and applications on robotic item picking and warehouse automation for e-commerce applications. The works in this book are based on results that came out of the Amazon Robotics Challenge from 2015-2017, which focused on fully automated item picking in warehouse setting, a topic that has been assumed too complicated to solve or has been reduced to a more tractable form of bin picking or single-item table top picking. The book?s contributions reveal some of the top solutions presented from the 50 participant teams. Each solution works to address the time-constraint, accuracy, complexity, and other difficulties that come with warehouse item picking. The book covers topics such as grasping and gripper design, vision and other forms of sensing, actuation and robot design, motion planning, optimization, machine learning and artificial intelligence, software engineering, and system integration, among others. Through this book, the authors describe how robot systems are built from the ground up to do a specific task, in this case, item picking in a warehouse setting. The compiled works come from the best robotics research institutions and companies globally. Presents an inside look at the various solutions for automated warehouse item picking based on the Amazon Robotics Challenge (ARC) Contains details of the challenges and solutions involved in automating item picking Provides details and insights on the solutions of the winning teams Includes chapters written by scientists and engineers at the forefront of robotics research. 606 $aElectrical engineering 606 $aRobotics 606 $aAutomation 606 $aArtificial intelligence 606 $aComputational intelligence 606 $aAutomatic control 606 $aComputer simulation 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 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 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 615 0$aElectrical engineering. 615 0$aRobotics. 615 0$aAutomation. 615 0$aArtificial intelligence. 615 0$aComputational intelligence. 615 0$aAutomatic control. 615 0$aComputer simulation. 615 14$aCommunications Engineering, Networks. 615 24$aRobotics and Automation. 615 24$aArtificial Intelligence. 615 24$aComputational Intelligence. 615 24$aControl and Systems Theory. 615 24$aSimulation and Modeling. 676 $a670.4272 702 $aCauso$b Albert$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDurham$b Joseph$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHauser$b Kris$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOkada$b Kei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRodriguez$b Alberto$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910403762603321 996 $aAdvances on Robotic Item Picking$92083288 997 $aUNINA