001449193 000__ 03098cam\a2200529\i\4500
001449193 001__ 1449193
001449193 003__ OCoLC
001449193 005__ 20230310004347.0
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001449193 007__ cr\cn\nnnunnun
001449193 008__ 220903s2022\\\\sz\a\\\\ob\\\\000\0\eng\d
001449193 020__ $$a9783031069673$$q(electronic bk.)
001449193 020__ $$a3031069676$$q(electronic bk.)
001449193 020__ $$z9783031069666
001449193 020__ $$z3031069668
001449193 0247_ $$a10.1007/978-3-031-06967-3$$2doi
001449193 035__ $$aSP(OCoLC)1343197612
001449193 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dUKAHL$$dOCLCQ
001449193 049__ $$aISEA
001449193 050_4 $$aT55.3.M35
001449193 08204 $$a629.8/933$$223/eng/20220909
001449193 1001_ $$aPfanne, Martin,$$eauthor.
001449193 24510 $$aIn-hand object localization and control :$$benabling dexterous manipulation with robotic hands /$$cMartin Pfanne.
001449193 264_1 $$aCham :$$bSpringer,$$c[2022]
001449193 264_4 $$c©2022
001449193 300__ $$a1 online resource (xxxix, 180 pages) :$$billustrations (chiefly color).
001449193 336__ $$atext$$btxt$$2rdacontent
001449193 337__ $$acomputer$$bc$$2rdamedia
001449193 338__ $$aonline resource$$bcr$$2rdacarrier
001449193 4901_ $$aSpringer tracts in advanced robotics,$$x1610-742X ;$$vvolume 149
001449193 504__ $$aIncludes bibliographical references.
001449193 5050_ $$aIntroduction -- Related Work -- Grasp Modeling -- Grasp State Estimation -- Impedance-based Object Control -- Conclusion.
001449193 506__ $$aAccess limited to authorized users.
001449193 520__ $$aThis book introduces a novel model-based dexterous manipulation framework, which, thanks to its precision and versatility, significantly advances the capabilities of robotic hands compared to the previous state of the art. This is achieved by combining a novel grasp state estimation algorithm, the first to integrate information from tactile sensing, proprioception and vision, with an impedance-based in-hand object controller, which enables leading manipulation capabilities, including finger gaiting. The developed concept is implemented on one of the most advanced robotic manipulators, the DLR humanoid robot David, and evaluated in a range of challenging real-world manipulation scenarios and tasks. This book greatly benefits researchers in the field of robotics that study robotic hands and dexterous manipulation topics, as well as developers and engineers working on industrial automation applications involving grippers and robotic manipulators.
001449193 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 9, 2022).
001449193 650_0 $$aManipulators (Mechanism)
001449193 650_0 $$aRobot hands.
001449193 655_0 $$aElectronic books.
001449193 77608 $$iPrint version: $$z3031069668$$z9783031069666$$w(OCoLC)1313386850
001449193 77608 $$iPrint version:$$aPfanne, Martin.$$tIn-hand object localization and control.$$dCham : Springer, 2022$$z9783031069666$$w(OCoLC)1328005516
001449193 830_0 $$aSpringer tracts in advanced robotics ;$$vv. 149.$$x1610-742X
001449193 852__ $$bebk
001449193 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-06967-3$$zOnline Access$$91397441.1
001449193 909CO $$ooai:library.usi.edu:1449193$$pGLOBAL_SET
001449193 980__ $$aBIB
001449193 980__ $$aEBOOK
001449193 982__ $$aEbook
001449193 983__ $$aOnline
001449193 994__ $$a92$$bISE