Concepedia

Grasp Pose Planning

Grasp Pose Planning is a computational method within robotic manipulation that determines the optimal spatial configuration and orientation of a robotic end-effector relative to an object to achieve a stable and task-appropriate grasp.

36

Publications

1.4K

Citations

117

Authors

48

Institutions

Publications per year

2017–2026

18

Parents

Publications

36

Performance Evaluation of a Harvesting Robot for Sweet Pepper

C.W. Bac, J. Hemming, B.A.J. van Tuijl et al. · Journal of Field Robotics · 2017 · 242 citations · Full text

, , +17

Real-time tracking meets online grasp planning

Danica Kragić, Andrew Miller, Peter K. Allen · 2002 · 111 citations · Full text

, , +17

Calculating hand configurations for precision and pinch grasps

Ch. Borst, Max Fischer, G. Hirzinger · 2003 · 90 citations

, , +16

Fast Planning for 3D Any-Pose-Reorienting Using Pivoting

Yifan Hou, Zhenzhong Jia, Matthew T. Mason · 2018 · 66 citations

, , +12

Planning Grasps With Suction Cups and Parallel Grippers Using Superimposed Segmentation of Object Meshes

Weiwei Wan, Kensuke Harada, Fumio Kanehiro · IEEE Transactions on Robotics · 2020 · 63 citations · Full text

, , +16

1–5 of 36

Authors

117

  1. KH
    Kensuke Harada

    National Institute of Advanced Industrial Science and Technology, Japan

    6 publications · 183 citations

    6

    h-index

  2. WW
    Weiwei Wan

    The University of Osaka, Japan

    4 publications · 117 citations

    4

    h-index

  3. HO
    Hiromu Onda

    National Institute of Advanced Industrial Science and Technology, Japan

    2 publications · 66 citations

    2

    h-index

  4. KY
    Kimitoshi Yamazaki

    Shinshu University, Japan

    2 publications · 52 citations

    2

    h-index

  5. NY
    Natsuki Yamanobe

    National Institute of Advanced Industrial Science and Technology, Japan

    2 publications · 66 citations

    2

    h-index

1–5 of 117

Institutions

48

  1. National Institute of Advanced Industrial Science and Technology

    Tsukuba, Japan

    6 h-index

    17 publications

    483 citations

  2. The University of Osaka

    Osaka, Japan

    4 h-index

    11 publications

    276 citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    7 publications

    366 citations

  4. The University of Tokyo

    Tokyo, Japan

    2 h-index

    3 publications

    86 citations

  5. Kyushu University

    Fukuoka, Japan

    2 h-index

    2 publications

    66 citations

  6. Italian Institute of Technology

    Genoa, Italy

    2 h-index

    4 publications

    144 citations

  7. Institut de Recherche en Informatique et Systèmes Aléatoires

    Rennes, France

    2 h-index

    5 publications

    111 citations

  8. University of Tsukuba

    Tsukuba, Japan

    2 h-index

    5 publications

    172 citations

1–8 of 48

Venues

  1. Robotics and Autonomous Systems

    2 publications · 55 citations

    2

    h-index

  2. Advanced Robotics

    2 publications · 51 citations

    2

    h-index

  3. IEEE Transactions on Robotics

    2 publications · 81 citations

    2

    h-index

  4. IEEE Robotics and Automation Letters

    2 publications · 30 citations

    2

    h-index

  5. Chinese Journal of Mechanical Engineering

    1 publications · 17 citations

    1

    h-index

1–5