001442107 000__ 03751cam\a2200625\i\4500
001442107 001__ 1442107
001442107 003__ OCoLC
001442107 005__ 20230310003312.0
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001442107 007__ cr\cn\nnnunnun
001442107 008__ 210807s2022\\\\si\a\\\\ob\\\\000\0\eng\d
001442107 019__ $$a1262966486$$a1263220209$$a1287775027
001442107 020__ $$a9789811635755$$q(electronic bk.)
001442107 020__ $$a9811635757$$q(electronic bk.)
001442107 020__ $$z9789811635748
001442107 020__ $$z9811635749
001442107 0247_ $$a10.1007/978-981-16-3575-5$$2doi
001442107 035__ $$aSP(OCoLC)1263027260
001442107 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dDCT$$dOCLCO$$dOCLCQ$$dN$T$$dOCLCQ
001442107 049__ $$aISEA
001442107 050_4 $$aTJ211.43$$b.Q53 2022
001442107 08204 $$a629.8/933$$223
001442107 1001_ $$aQiao, Hong,$$eauthor.
001442107 24514 $$aThe hand-eye-brain system of intelligent robot :$$bfrom interdisciplinary perspective of information science and neuroscience /$$cHong Qiao, Chao Ma, Rui Li.
001442107 264_1 $$aSingapore :$$bSpringer ;$$a[China] :$$bHuazhong University of Science and Technology Press,$$c[2022]
001442107 264_4 $$c©2022
001442107 300__ $$a1 online resource (180 pages) :$$billustrations (chiefly color)
001442107 336__ $$atext$$btxt$$2rdacontent
001442107 337__ $$acomputer$$bc$$2rdamedia
001442107 338__ $$aonline resource$$bcr$$2rdacarrier
001442107 347__ $$atext file
001442107 347__ $$bPDF
001442107 4901_ $$aResearch on intelligent manufacturing
001442107 504__ $$aIncludes bibliographical references.
001442107 5050_ $$aIntroduction -- The Concept of "Attractive Region in Environment (ARIE)" and its Application in High-precision Tasks with Low-precision Systems -- The Compliance of Robotic Hands and Human-inspired Motion Model of Upper-limb with Fast Response and Learning Ability -- Learning an Intrinsic-Variable Preserving Manifold for Dynamic Visual Tracking -- Explicit Nonlinear Mapping for Manifold Learning with Neighborhood preserving polynomial embedding -- Biologically Inspired Visual Model with Memory and Association Mechanism -- Biologically Inspired Visual Model with Preliminary Cognition and Active Attention Adjustment -- Biologically Inspired Visual Cognition Model with Unsupervised Episodic and Semantic Feature Learning -- Conclusions and Future Research Directions.
001442107 506__ $$aAccess limited to authorized users.
001442107 520__ $$aThis book reports the new results of intelligent robot with hand-eye-brain, from the interdisciplinary perspective of information science and neuroscience. It collects novel research ideas on attractive region in environment (ARIE), intrinsic variable preserving manifold learning (IVPML) and biologically inspired visual congnition, which are theoretically important but challenging to develop the intelligent robot. Furthermore, the book offers new thoughts on the possible future development of human-inspired robotics, with vivid illustrations. The book is useful for researchers, R & D engineers and graduate students working on intelligent robots.
001442107 588__ $$aDescription based on print version record.
001442107 650_0 $$aRobot hands.
001442107 650_0 $$aRobot vision.
001442107 650_0 $$aRobotics$$xHuman factors.
001442107 650_6 $$aPréhenseurs.
001442107 650_6 $$aVision artificielle (Robotique)
001442107 650_6 $$aRobotique$$xFacteurs humains.
001442107 655_0 $$aElectronic books.
001442107 7001_ $$aMa, Chao,$$eauthor.
001442107 7001_ $$aLi, Rui,$$eauthor.
001442107 77608 $$iPrint version:$$aQiao, Hong.$$tHand-Eye-brain System of Intelligent Robot.$$dSingapore : Springer Singapore Pte. Limited, ©2021$$z9789811635748
001442107 830_0 $$aResearch on intelligent manufacturing.
001442107 852__ $$bebk
001442107 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3575-5$$zOnline Access$$91397441.1
001442107 909CO $$ooai:library.usi.edu:1442107$$pGLOBAL_SET
001442107 980__ $$aBIB
001442107 980__ $$aEBOOK
001442107 982__ $$aEbook
001442107 983__ $$aOnline
001442107 994__ $$a92$$bISE