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010   $a3-319-20303-7
024 7 $a10.1007/978-3-319-20303-4
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035   $a(EBL)2120572
035   $a(OCoLC)916951035
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035   $a(DE-He213)978-3-319-20303-4
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100   $a20150619d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 14$aThe Visual Neuroscience of Robotic Grasping $eAchieving Sensorimotor Skills through Dorsal-Ventral Stream Integration /$fby Eris Chinellato, Angel P. del Pobil
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (174 p.)
225 1 $aCognitive Systems Monographs,$x1867-4925 ;$v28
300   $aDescription based upon print version of record.
311   $a3-319-20302-9 
320   $aIncludes bibliographical references.
327   $aIntroduction -- The Neuroscience of Action and Perception -- Intelligent Robotic Grasping? -- Vision-Based Grasping, where Robotics Meets Neuroscience -- Extraction of Grasp-Related Visual Features -- Visuomotor Transformations for Grasp Planning and Execution -- An Ever-Developing Research Framework.
330   $aThis book presents interdisciplinary research that pursues the mutual enrichment of neuroscience and robotics. Building on experimental work, and on the wealth of literature regarding the two cortical pathways of visual processing - the dorsal and ventral streams - we define and implement, computationally and on a real robot, a functional model of the brain areas involved in vision-based grasping actions. Grasping in robotics is largely an unsolved problem, and we show how the bio-inspired approach is successful in dealing with some fundamental issues of the task. Our robotic system can safely perform grasping actions on different unmodeled objects, denoting especially reliable visual and visuomotor skills. The computational model and the robotic experiments help in validating theories on the mechanisms employed by the brain areas more directly involved in grasping actions. This book offers new insights and research hypotheses regarding such mechanisms, especially for what concerns the interaction between the dorsal and ventral streams. Moreover, it helps in establishing a common research framework for neuroscientists and roboticists regarding research on brain functions.
410  0$aCognitive Systems Monographs,$x1867-4925 ;$v28
606   $aRobotics
606   $aAutomation
606   $aComputational intelligence
606   $aBioinformatics
606   $aNeurosciences
606   $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050
606   $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006
615  0$aRobotics.
615  0$aAutomation.
615  0$aComputational intelligence.
615  0$aBioinformatics.
615  0$aNeurosciences.
615 14$aRobotics and Automation.
615 24$aComputational Intelligence.
615 24$aComputational Biology/Bioinformatics.
615 24$aNeurosciences.
676   $a629.892
700   $aChinellato$b Eris$4aut$4http://id.loc.gov/vocabulary/relators/aut$0764101
702   $adel Pobil$b Angel P$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254198603321
996   $aThe Visual Neuroscience of Robotic Grasping$92515395
997   $aUNINA