Concepedia

Robust Grasp Planning

Robust Grasp Planning is a grasp planning approach that systematically incorporates uncertainty, variability, and potential disturbances in object properties, sensor data, or environmental conditions to generate grasps that reliably succeed under real-world operational demands.

33

Publications

3.3K

Citations

128

Authors

41

Institutions

Publications per year

2017–2026

14

Parents

Publications

33

Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

Jeffrey Mahler, Jacky Liang, Sherdil Niyaz et al. · 2017 · 1.2K citations · Full text

, , +17

Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards

Jeffrey Mahler, Florian T. Pokorny, Brian Hou et al. · 2016 · 375 citations

, , +14

Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

Jeffrey Mahler, Jacky Liang, Sherdil Niyaz et al. · arXiv (Cornell University) · 2017 · 278 citations · Full text

, , +17

A fast and robust grasp planner for arbitrary 3D objects

Ch. Borst, Max Fischer, G. Hirzinger · 2003 · 171 citations

, , +15

Reactive grasping using optical proximity sensors

Kaijen Hsiao, Paul Nangeroni, Manfred Huber et al. · 2009 · 163 citations · Full text

, , +17

1–5 of 33

Authors

128

  1. KG
    Ken Goldberg

    University of California, Berkeley, United States

    9 publications · 2.1K citations

    9

    h-index

  2. JM
    Jeffrey Mahler

    University of California, Berkeley, United States

    8 publications · 2.1K citations

    8

    h-index

  3. ML
    Michael Laskey

    University of California, Berkeley, United States

    4 publications · 1.9K citations

    4

    h-index

  4. SN
    Sherdil Niyaz

    University of California, Berkeley, United States

    3 publications · 1.5K citations

    3

    h-index

  5. FT
    Florian T. Pokorny

    KTH Royal Institute of Technology, Sweden

    3 publications · 424 citations

    3

    h-index

1–5 of 128

Institutions

41

  1. University of California, Berkeley

    Berkeley, United States

    8 h-index

    46 publications

    11.2K citations

  2. Siemens (Germany)

    Munich, Germany

    3 h-index

    3 publications

    1.2K citations

  3. Siemens (United States)

    Princeton, United States

    2 h-index

    2 publications

    26 citations

  4. Massachusetts Institute of Technology

    Cambridge, United States

    2 h-index

    4 publications

    634 citations

  5. Technische Universität Berlin

    Berlin, Germany

    2 h-index

    6 publications

    222 citations

  6. Carnegie Mellon University

    Pittsburgh, United States

    2 h-index

    5 publications

    370 citations

  7. Google (United States)

    Mountain View, United States

    2 h-index

    5 publications

    1.5K citations

  8. National Institute of Advanced Industrial Science and Technology

    Tsukuba, Japan

    1 h-index

    2 publications

    44 citations

1–8 of 41

Venues

  1. Neurocomputing

    1 publications · 16 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 278 citations

    1

    h-index

  3. The International Journal of Robotics Research

    IJRR · 1 publications · 15 citations

    1

    h-index

  4. Advanced Robotics

    1 publications · 38 citations

    1

    h-index

  5. 1

    h-index

1–5