Výsledky vyhledávání - "Deep learning in robotics and automation"

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  1. 1

    From Pixels to Percepts: Highly Robust Edge Perception and Contour Following Using Deep Learning and an Optical Biomimetic Tactile Sensor Autor Lepora, Nathan F., Church, Alex, de Kerckhove, Conrad, Hadsell, Raia, Lloyd, John

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.04.2019
    Vydáno v IEEE robotics and automation letters (01.04.2019)
    “… Optical tactile sensors act as a bridge between the subjects by allowing techniques from vision to be applied to touch…”
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    Journal Article
  2. 2

    Cross-Domain Motion Transfer via Safety-Aware Shared Latent Space Modeling Autor Choi, Sungjoon, Kim, Joohyung

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.04.2020
    Vydáno v IEEE robotics and automation letters (01.04.2020)
    “… The proposed method is extensively evaluated in a diverse set of motions from human subjects and an animation character where we show that incorporating negative data dramatically reduces self-collisions while preserving the quality of the original motion…”
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    Journal Article