Concepedia

Self-supervised Grasp Detection

Self-Supervised Grasp Detection is a grasp detection framework that belongs to the class of self-supervised learning methods, distinguished by its ability to generate supervisory signals from unlabeled sensor data through pretext tasks, thereby eliminating the need for manually annotated grasp labels during training.

3

Publications

156

Citations

13

Authors

4

Institutions

Publications per year

2017–2026

3

Parents

Publications

3

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik et al. · 2021 · 114 citations · Full text

, , +17

Uncertainty-aware Self-supervised Target-mass Grasping of Granular Foods

Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu et al. · 2021 · 26 citations

, , +17

Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach

Kanata Suzuki, Yasuto Yokota, Yuzi Kanazawa et al. · 2020 · 16 citations

, , +15

Robotic Grasp Detection Based on Category-Level Object Pose Estimation With Self-Supervised Learning

Sheng Yu, Di‐Hua Zhai, Yuanqing Xia · IEEE/ASME Transactions on Mechatronics · 2023 · 15 citations

, , +17

1–4 of 3

Authors

13

  1. ZJ
    Zhenyu Jiang

    National University of Defense Technology, China

    1 publications · 114 citations

    1

    h-index

  2. MS
    Maxwell Svetlik

    The University of Texas at Austin, United States

    1 publications · 114 citations

    1

    h-index

  3. TT
    Tomoyoshi Takebayashi

    Fujitsu (Japan), Japan

    1 publications · 16 citations

    1

    h-index

  4. YK
    Yuzi Kanazawa

    Fujitsu (Japan), Japan

    1 publications · 16 citations

    1

    h-index

  5. KS
    Kanata Suzuki

    Fujitsu (Japan), Japan

    1 publications · 16 citations

    1

    h-index

1–5 of 13

Institutions

4

  1. The University of Texas at Austin

    Austin, United States

    1 h-index

    4 publications

    456 citations

  2. Stanford University

    Stanford, United States

    1 h-index

    1 publications

    114 citations

  3. Preferred Networks (Japan)

    Tokyo, Japan

    1 h-index

    4 publications

    104 citations

  4. Fujitsu (Japan)

    Kawasaki, Japan

    1 h-index

    4 publications

    64 citations

  5. Beijing Institute of Technology

    Beijing, China

    1 publications

    15 citations

1–5 of 4

Venues

  1. IEEE/ASME Transactions on Mechatronics

    1 publications · 15 citations

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