Concepedia

Multi-finger Grasp Detection

Multi-Finger Grasp Detection is a grasp detection framework that identifies optimal configurations for multi-fingered robotic hands by predicting coordinated contact points and force closures across multiple fingers, distinguishing it from binary or parallel-jaw grasp detection methods through its explicit modeling of multi-contact interactions.

3

Publications

129

Citations

9

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

3

1–3 of 3

Authors

9

  1. KT
    K. Tanie

    National Institute of Advanced Industrial Science and Technology, Japan

    1 publications · 89 citations

    1

    h-index

  2. PK
    Pramod Kumar Mishra

    Banaras Hindu University, India

    1 publications · 12 citations

    1

    h-index

  3. HH
    Haoyuan He

    University of Science and Technology of China, China

    1 publications · 28 citations

    1

    h-index

  4. ZL
    Zhijun Li

    University of Science and Technology of China, China

    1 publications · 28 citations

    1

    h-index

  5. MM
    Mokhtar M. Hasan

    University of Baghdad, Iraq

    1 publications · 12 citations

    1

    h-index

1–5 of 9

Institutions

3

  1. University of Tsukuba

    Tsukuba, Japan

    1 h-index

    1 publications

    89 citations

  2. University of Science and Technology of China

    Hefei, China

    1 h-index

    4 publications

    112 citations

  3. Hiroshima University

    Hiroshima, Japan

    1 h-index

    1 publications

    89 citations

1–3 of 3

Venues

  1. IEEE Transactions on Robotics and Automation

    1 publications · 89 citations

    1

    h-index

  2. Robotics and Autonomous Systems

    1 publications · 28 citations

    1

    h-index

1–2