Dexterous Grasping

Dexterous Grasping is a robotic manipulation strategy that enables a multi-fingered robotic hand to precisely control and adaptively apply forces and motions during object acquisition and manipulation, distinguishing itself through high degrees of freedom, fine motor control, and the capacity to perform complex in-hand operations akin to human hand functionality.

297

Publications

16.6K

Citations

1.1K

Authors

380

Institutions

Publications per year

2017–2026

99

Authors

1.1K

  1. HK
    Haruhisa Kawasaki

    Gifu University, Japan

    5 publications · 770 citations

    5

    h-index

  2. AM
    Aaron M. Dollar

    Yale University, United States

    4 publications · 724 citations

    4

    h-index

  3. GO
    Goro Obinata

    Nagoya University, Japan

    4 publications · 59 citations

    4

    h-index

  4. DK
    Danica Kragić

    KTH Royal Institute of Technology, Sweden

    3 publications · 204 citations

    3

    h-index

  5. GC
    Giuseppe Casalino

    Polytechnic University of Bari, Italy

    3 publications · 208 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. IEEE/ASME Transactions on Mechatronics

    6 publications · 859 citations

    6

    h-index

  2. IEEE Transactions on Robotics

    6 publications · 356 citations

    6

    h-index

  3. PubMed

    Repository · 5 publications · 545 citations

    5

    h-index

  4. Experimental Brain Research

    5 publications · 264 citations

    5

    h-index

  5. IEEE Robotics and Automation Letters

    6 publications · 357 citations

    5

    h-index

1–5