Human Intent Recognition

Human Intent Recognition is a computational framework within the domain of robot compliance that enables a robotic system to discern and interpret the underlying goals or objectives of human actions through observable behaviors, distinguishing it from related perceptual or reactive mechanisms by its focus on inferring unobservable cognitive intentions.

179

Publications

8.5K

Citations

596

Authors

222

Institutions

Publications per year

2017–2026

97

Authors

596

  1. LJ
    Levi J. Hargrove

    Shirley Ryan AbilityLab, United States

    10 publications · 1.1K citations

    10

    h-index

  2. HH
    He Huang

    North Carolina State University, United States

    6 publications · 301 citations

    6

    h-index

  3. AJ
    Aaron J. Young

    Georgia Institute of Technology, United States

    6 publications · 754 citations

    6

    h-index

  4. BW
    Brian Williams

    Massachusetts Institute of Technology, United States

    4 publications · 132 citations

    4

    h-index

  5. RK
    Richard Kelley

    University of Nevada, Reno, United States

    4 publications · 254 citations

    4

    h-index

1–5 of 596

Venues

  1. 6

    h-index

  2. IEEE Robotics and Automation Letters

    4 publications · 110 citations

    4

    h-index

  3. Sensors

    4 publications · 107 citations

    4

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 94 citations

    3

    h-index

  5. IEEE Access

    3 publications · 82 citations

    3

    h-index

1–5