Intent Inference

Intent Inference is a computational framework within human-cyber-physical interaction that enables a robotic system to deduce a human operator’s goal-directed actions or desired outcomes from observable behavior, contextual cues, and sensorimotor signals in shared autonomy settings.

192

Publications

9.1K

Citations

583

Authors

208

Institutions

Publications per year

2017–2026

95

Authors

583

  1. BI
    Bashar I. Ahmad

    University of Cambridge, United Kingdom

    5 publications · 173 citations

    5

    h-index

  2. IH
    Inseok Hwang

    Purdue University West Lafayette, United States

    5 publications · 243 citations

    5

    h-index

  3. AD
    Anca D. Dragan

    University of California, Berkeley, United States

    5 publications · 966 citations

    5

    h-index

  4. SG
    Simon Godsill

    University of Cambridge, United Kingdom

    5 publications · 173 citations

    5

    h-index

  5. SS
    Siddhartha S Srinivasa

    Carnegie Mellon University, United States

    4 publications · 972 citations

    4

    h-index

1–5 of 583

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 419 citations

    10

    h-index

  2. The International Journal of Robotics Research

    IJRR · 4 publications · 230 citations

    4

    h-index

  3. IEEE Robotics and Automation Letters

    4 publications · 271 citations

    4

    h-index

  4. Journal of Guidance Control and Dynamics

    3 publications · 234 citations

    3

    h-index

  5. Frontiers in Robotics and AI

    3 publications · 90 citations

    3

    h-index

1–5