LEADER 03937nam 22007095 450 001 9910298568103321 005 20200704001131.0 010 $a3-319-05603-4 024 7 $a10.1007/978-3-319-05603-6 035 $a(CKB)2560000000148959 035 $a(EBL)1698186 035 $a(OCoLC)881166131 035 $a(SSID)ssj0001199732 035 $a(PQKBManifestationID)11703445 035 $a(PQKBTitleCode)TC0001199732 035 $a(PQKBWorkID)11204235 035 $a(PQKB)10207926 035 $a(MiAaPQ)EBC1698186 035 $a(DE-He213)978-3-319-05603-6 035 $a(PPN)178318868 035 $a(EXLCZ)992560000000148959 100 $a20140411d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAutonomous Robotics and Deep Learning /$fby Vishnu Nath, Stephen E. Levinson 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (73 p.) 225 1 $aSpringerBriefs in Computer Science,$x2191-5768 300 $aDescription based upon print version of record. 311 $a3-319-05602-6 320 $aIncludes bibliographical references. 327 $aIntroduction -- Overview of Probability and Statistics -- Primer on Matrices and Determinants -- Robot Kinematics -- Computer Vision -- Machine Learning -- Experimental Results -- Future Direction. 330 $aThis Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop ?true consciousness.? It illustrates the critical first step towards reaching ?deep learning,? long considered the holy grail for machine learning scientists worldwide. Using the example of the iCub, a humanoid robot which learns to solve 3D mazes, the book explores the challenges to create a robot that can perceive its own surroundings. Rather than relying solely on human programming, the robot uses physical touch to develop a neural map of its environment and learns to change the environment for its own benefit. These techniques allow the iCub to accurately solve any maze, if a solution exists, within a few iterations. With clear analysis of the iCub experiments and its results, this Springer Brief is ideal for advanced level students, researchers and professionals focused on computer vision, AI and machine learning. 410 0$aSpringerBriefs in Computer Science,$x2191-5768 606 $aArtificial intelligence 606 $aOptical data processing 606 $aUser interfaces (Computer systems) 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 0$aUser interfaces (Computer systems) 615 14$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a629.892 700 $aNath$b Vishnu$4aut$4http://id.loc.gov/vocabulary/relators/aut$0918907 702 $aLevinson$b Stephen E$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298568103321 996 $aAutonomous Robotics and Deep Learning$92215722 997 $aUNINA