User Intent Prediction

User Intent Prediction is a computational framework within shared autonomy systems that enables the estimation of a user's desired actions or goals from observable behavior, distinguishing itself by integrating real-time interaction data to inform autonomous agents' decision-making processes.

152

Publications

7.5K

Citations

511

Authors

191

Institutions

Publications per year

2017–2026

93

Authors

511

  1. BI
    Bashar I. Ahmad

    University of Cambridge, United Kingdom

    6 publications · 253 citations

    6

    h-index

  2. SG
    Simon Godsill

    University of Cambridge, United Kingdom

    6 publications · 253 citations

    6

    h-index

  3. SN
    Saeid Nahavandi

    Deakin University, Australia

    5 publications · 220 citations

    5

    h-index

  4. MH
    Mohammed Hossny

    Deakin University, Australia

    5 publications · 220 citations

    5

    h-index

  5. KS
    Khaled Saleh

    Deakin University, Australia

    5 publications · 220 citations

    5

    h-index

1–5 of 511

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 240 citations

    10

    h-index

  2. Applied Sciences

    2 publications · 39 citations

    2

    h-index

  3. IEEE Transactions on Cybernetics

    2 publications · 133 citations

    2

    h-index

  4. 2

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 581 citations

    2

    h-index

1–5