Dexterous Manipulation

Dexterous Manipulation is a subdomain of robotic manipulation that entails the precise, skillful control of objects through multi-fingered hands or advanced end-effectors, distinguished by its emphasis on fine motor skills, adaptability to object geometry, and the integration of sensory feedback to achieve human-like manipulation capabilities.

4.5K

Publications

250.7K

Citations

9.6K

Authors

2K

Institutions

Publications per year

2017–2026

1.1K

Authors

9.6K

  1. ML
    Mark L. Latash

    Pennsylvania State University, United States

    75 publications · 4.7K citations

    39

    h-index

  2. VM
    Vladimir M. Zatsiorsky

    Pennsylvania State University, United States

    63 publications · 3.7K citations

    36

    h-index

  3. AM
    Aaron M. Dollar

    Yale University, United States

    62 publications · 4.8K citations

    33

    h-index

  4. RS
    Roland S. Johansson

    Umeå University, Sweden

    35 publications · 5.6K citations

    32

    h-index

  5. MR
    Mark R. Cutkosky

    Stanford University, United States

    41 publications · 3K citations

    29

    h-index

1–5 of 9.6K

Venues

  1. Experimental Brain Research

    189 publications · 13.8K citations

    63

    h-index

  2. The International Journal of Robotics Research

    IJRR · 99 publications · 19.4K citations

    59

    h-index

  3. IEEE Robotics and Automation Letters

    131 publications · 6.1K citations

    44

    h-index

  4. Journal of Neurophysiology

    JN · 73 publications · 7.1K citations

    42

    h-index

  5. IEEE Transactions on Robotics

    71 publications · 4.9K citations

    39

    h-index

1–5