Concepedia

Grasp Representation Learning

Grasp Representation Learning is a computational framework within robotic manipulation that systematically acquires and encodes the essential geometric and physical features of multi-fingered grasps into structured latent representations, enabling effective generalization and planning across diverse object and hand configurations.

251

Publications

16.9K

Citations

894

Authors

256

Institutions

Publications per year

2017–2026

165

Parents

Publications

251

Learning the signatures of the human grasp using a scalable tactile glove

Subramanian Sundaram, Petr Kellnhofer, Yunzhu Li et al. · Nature · 2019 · 1.1K citations

, , +14

Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours

Lerrel Pinto, Abhinav Gupta · 2016 · 1.1K citations

, , +15

Efficient grasping from RGBD images: Learning using a new rectangle representation

Jiang Yun, Stephen Moseson, Ashutosh Saxena · 2011 · 663 citations

, , +17

Learning ambidextrous robot grasping policies

Jeffrey Mahler, Matthew Matl, Vishal Satish et al. · Science Robotics · 2019 · 578 citations

, , +15

1Data-Driven Grasp Synthesis- A Survey

Jeannette Bohg, Antonio Morales, Tamim Asfour · 2016 · 554 citations

, , +13

1–5 of 251

Authors

894

  1. DK
    Danica Kragić

    KTH Royal Institute of Technology, Sweden

    11 publications · 488 citations

    11

    h-index

  2. RD
    Renaud Detry

    University of Liège, Belgium

    11 publications · 516 citations

    11

    h-index

  3. AG
    Abhinav Gupta

    Carnegie Mellon University, United States

    8 publications · 1.4K citations

    8

    h-index

  4. JP
    Justus Piater

    Universität Innsbruck, Austria

    6 publications · 290 citations

    6

    h-index

  5. SL
    Sergey Levine

    University of California, Berkeley, United States

    6 publications · 340 citations

    6

    h-index

1–5 of 894

Institutions

256

  1. KTH Royal Institute of Technology

    Stockholm, Sweden

    10 h-index

    28 publications

    2K citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    10 h-index

    26 publications

    3.1K citations

  3. Columbia University

    New York, United States

    7 h-index

    20 publications

    1K citations

  4. Google (United States)

    Mountain View, United States

    7 h-index

    28 publications

    2.8K citations

  5. Stanford University

    Stanford, United States

    7 h-index

    32 publications

    2.4K citations

  6. University of Maryland, College Park

    College Park, United States

    6 h-index

    13 publications

    1.2K citations

  7. Tsinghua University

    Beijing, China

    6 h-index

    19 publications

    1.9K citations

  8. University of Liège

    Liège, Belgium

    6 h-index

    10 publications

    349 citations

1–8 of 256

Venues

  1. IEEE Robotics and Automation Letters

    17 publications · 655 citations

    16

    h-index

  2. arXiv (Cornell University)

    Repository · 16 publications · 504 citations

    13

    h-index

  3. Robotics and Autonomous Systems

    7 publications · 264 citations

    7

    h-index

  4. Autonomous Robots

    5 publications · 110 citations

    5

    h-index

  5. Conference on Robot Learning

    Conference · 4 publications · 308 citations

    4

    h-index

1–5