Tactile Data Collection

Tactile Data Collection is a methodological framework within tactile learning that systematically acquires and records physical interaction data through touch-based sensors or modalities to enable the analysis and modeling of haptic experiences.

57

Publications

2.7K

Citations

220

Authors

94

Institutions

Publications per year

2017–2026

27

Authors

220

  1. HR
    Helge Ritter

    Bielefeld University, Germany

    3 publications · 49 citations

    3

    h-index

  2. WY
    Wenzhen Yuan

    Carnegie Mellon University, United States

    3 publications · 179 citations

    3

    h-index

  3. NF
    Nathan F. Lepora

    Bristol Robotics Laboratory, United Kingdom

    3 publications · 147 citations

    3

    h-index

  4. MT
    Mami Tanaka

    Tohoku University, Japan

    2 publications · 76 citations

    2

    h-index

  5. SC
    Seiji CHONAN

    Tohoku University, Japan

    2 publications · 76 citations

    2

    h-index

1–5 of 220

Venues

  1. IEEE Robotics and Automation Letters

    3 publications · 95 citations

    3

    h-index

  2. Future Generation Computer Systems

    FGCS · 2 publications · 90 citations

    2

    h-index

  3. Journal of Visual Impairment & Blindness

    JVIB · 1 publications · 19 citations

    1

    h-index

  4. International Journal of Modern Physics B

    1 publications · 35 citations

    1

    h-index

  5. Sensors and Actuators A Physical

    1 publications · 12 citations

    1

    h-index

1–5