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Visually guided grasping in depth is systematically inaccurate
Author(s) -
C. Howard Walker,
Carlo Campagnoli,
Fulvio Domini
Publication year - 2014
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/14.10.421
Subject(s) - grasp , thumb , computer science , perception , visual feedback , computer vision , hand strength , action (physics) , haptic technology , block (permutation group theory) , artificial intelligence , dorsum , index finger , communication , psychology , mathematics , geology , geometry , physics , anatomy , neuroscience , grip strength , paleontology , medicine , physical therapy , quantum mechanics , programming language

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