Concepedia

Trust-aware Robot Learning

Trust-Aware Robot Learning is a computational framework in human-robot interaction that explicitly models and adapts to human users' trust dynamics to guide robotic decision-making and learning processes.

2

Publications

444

Citations

5

Authors

2

Institutions

Publications per year

2017–2026

2

Parents

Publications

2

1–2 of 2

Authors

5

  1. KS
    Keng Siau

    University of Nebraska–Lincoln, United States

    1 publications · 395 citations

    1

    h-index

  2. XH
    Xiangkun He

    Nanyang Technological University, Singapore

    1 publications · 49 citations

    1

    h-index

  3. WW
    Weiyu Wang

    University of British Columbia, Canada

    1 publications · 395 citations

    1

    h-index

  4. CL
    Chen Lv

    Nanyang Technological University, Singapore

    1 publications · 49 citations

    1

    h-index

  5. WH
    Wenhui Huang

    Nanyang Technological University, Singapore

    1 publications · 49 citations

    1

    h-index

1–5 of 5

Institutions

2

  1. Nanyang Technological University

    Singapore, Singapore

    1 h-index

    3 publications

    147 citations

  2. University of British Columbia

    Vancouver, Canada

    1 h-index

    2 publications

    790 citations

1–2 of 2

Venues

  1. 1

    h-index

  2. 1

    h-index

1–2