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  1. 1. Learning Object Properties From Manipulation for Manipulation

    Författare :Püren Güler; Danica Kragic; Jeremy L. Wyatt; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; robotics; manipulation; object properties; simulation; machine learning; object tracking; active exploration; sensory integration; Computer Science; Datalogi;

    Sammanfattning : The world contains objects with various properties - rigid, granular, liquid, elastic or plastic. As humans, while interacting with the objects, we plan our manipulation by considering their properties. For instance, while holding a rigid object such as a brick, we adapt our grasp based on its centre of mass not to drop it. LÄS MER