000751605 000__ 03326cam\a2200493Ii\4500 000751605 001__ 751605 000751605 005__ 20230306141251.0 000751605 006__ m\\\\\o\\d\\\\\\\\ 000751605 007__ cr\cn\nnnunnun 000751605 008__ 150623s2016\\\\sz\a\\\\ob\\\\000\0\eng\d 000751605 019__ $$a916951035 000751605 020__ $$a9783319203034$$q(electronic book) 000751605 020__ $$a3319203037$$q(electronic book) 000751605 020__ $$z9783319203027 000751605 0247_ $$a10.1007/978-3-319-20303-4$$2doi 000751605 035__ $$aSP(OCoLC)ocn911386374 000751605 035__ $$aSP(OCoLC)911386374$$z(OCoLC)916951035 000751605 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dOCLCO$$dIDEBK$$dGW5XE$$dYDXCP$$dOCLCF$$dCOO$$dEBLCP$$dDEBSZ$$dOCLCQ$$dCDX 000751605 049__ $$aISEA 000751605 050_4 $$aTJ211.4 000751605 08204 $$a629.892$$223 000751605 1001_ $$aChinellato, Eris,$$eauthor. 000751605 24514 $$aThe visual neuroscience of robotic grasping$$h[electronic resource] :$$bachieving sensorimotor skills througyh dorsal-ventral stream integration /$$cEris Chinellato, Angel P. del Pobil. 000751605 264_1 $$aCham :$$bSpringer,$$c[2016] 000751605 264_4 $$c©2016 000751605 300__ $$a1 online resource :$$billustrations. 000751605 336__ $$atext$$btxt$$2rdacontent 000751605 337__ $$acomputer$$bc$$2rdamedia 000751605 338__ $$aonline resource$$bcr$$2rdacarrier 000751605 4901_ $$aCognitive systems monographs ;$$vv. 28 000751605 504__ $$aIncludes bibliographical references. 000751605 5050_ $$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. 000751605 506__ $$aAccess limited to authorized users. 000751605 520__ $$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. 000751605 588__ $$aOnline resource; title from PDF title page (viewed June 24, 2015). 000751605 650_0 $$aRobots$$xMotion. 000751605 650_0 $$aNeurosciences. 000751605 7001_ $$aPobil, Angel Pasqual del,$$eauthor. 000751605 77608 $$iPrint version:$$z9783319203027 000751605 830_0 $$aCognitive systems monographs ;$$vv. 28. 000751605 852__ $$bebk 000751605 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-20303-4$$zOnline Access$$91397441.1 000751605 909CO $$ooai:library.usi.edu:751605$$pGLOBAL_SET 000751605 980__ $$aEBOOK 000751605 980__ $$aBIB 000751605 982__ $$aEbook 000751605 983__ $$aOnline 000751605 994__ $$a92$$bISE