Multimodal Slip Detection

Multimodal Slip Detection is a slip detection framework that integrates data from multiple sensory modalities—such as tactile, visual, auditory, and inertial measurements—to enhance the accuracy and robustness of slip identification in robotic or prosthetic manipulation tasks.

7

Publications

248

Citations

25

Authors

12

Institutions

Publications per year

2017–2026

5

Authors

25

  1. CL
    Chung-Yeon Lee

    Seoul National University, South Korea

    1 publications · 18 citations

    1

    h-index

  2. TS
    Takayuki Shiraiwa

    The University of Tokyo, Japan

    1 publications · 50 citations

    1

    h-index

  3. DR
    Debanik Roy

    Bhabha Atomic Research Centre, India

    1 publications · 11 citations

    1

    h-index

  4. FB
    Fabien Briffod

    The University of Tokyo, Japan

    1 publications · 50 citations

    1

    h-index

  5. FS
    Fuchun Sun

    Tsinghua University, China

    1 publications · 36 citations

    1

    h-index

1–5 of 25

Venues

  1. Rock Mechanics and Rock Engineering

    1 publications · 31 citations

    1

    h-index

  2. International Journal of Advanced Robotic Systems

    ARS · 1 publications · 36 citations

    1

    h-index

  3. International Journal of Humanoid Robotics

    1 publications · 68 citations

    1

    h-index

  4. Journal of Intelligent & Robotic Systems

    1 publications · 11 citations

    1

    h-index

  5. International Journal of Plasticity

    1 publications · 50 citations

    1

    h-index

1–5