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    Robotics· 2016

    Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

    Sergey Levine (first author) · 2016

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    DOI 10.1177/0278364917710318arXiv 1603.02199OpenAlex W2293467699

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    Why it matters

    Established large-scale real-world grasp data collection and deep visual feedback control.

    Condensed from the expert lists' notes.

    The record

    First released
    2016 (from arXiv 1603.02199)
    Citations
    2,322 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Named by
    both expert lists
    Score
    0.421 · computed rank 334 · consensus 0.4, must-read 0.5, citations percentile 0.575 (2010s · robotics), awards 0, existing lists 0.5. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and Semantic Scholar logoSemantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.