Multimodal Sensing

Multimodal Sensing is a robotic perception framework that integrates data from multiple distinct sensor modalities to enhance environmental understanding and decision-making beyond the capabilities of unimodal sensing.

266

Publications

14.9K

Citations

1.2K

Authors

367

Institutions

Publications per year

2017–2026

205

Authors

1.2K

  1. CL
    Chengkuo Lee

    National University of Singapore, Singapore

    4 publications · 705 citations

    5

    h-index

  2. AB
    Alper Bozkurt

    North Carolina State University, United States

    3 publications · 441 citations

    4

    h-index

  3. OT
    Omer T. Inan

    Georgia Institute of Technology, United States

    3 publications · 201 citations

    3

    h-index

  4. AK
    A.M. Kondoz

    University of Surrey, United Kingdom

    3 publications · 182 citations

    3

    h-index

  5. DS
    De Silva

    University of Surrey, United Kingdom

    3 publications · 182 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. Sensors

    13 publications · 449 citations

    12

    h-index

  2. Advanced Functional Materials

    8 publications · 629 citations

    9

    h-index

  3. Advanced Intelligent Systems

    6 publications · 207 citations

    7

    h-index

  4. ACS Applied Materials & Interfaces

    6 publications · 390 citations

    6

    h-index

  5. Science Robotics

    5 publications · 1.3K citations

    5

    h-index

1–5