Motion Sequencing

Motion Sequencing is a computational framework that organizes and structures discrete puppet movements into temporally coherent and semantically meaningful action chains to enable expressive, controllable, and context-aware animation generation.

25

Publications

2K

Citations

79

Authors

38

Institutions

Publications per year

2017–2026

6

Authors

79

  1. OA
    Okan Arıkan

    University of California, Berkeley, United States

    2 publications · 580 citations

    2

    h-index

  2. AM
    Ayanna M. Howard

    Georgia Institute of Technology, United States

    2 publications · 27 citations

    2

    h-index

  3. ME
    Magnus Egerstedt

    Georgia Institute of Technology, United States

    2 publications · 66 citations

    2

    h-index

  4. AL
    Amy LaViers

    University of Illinois Urbana-Champaign, United States

    2 publications · 66 citations

    2

    h-index

  5. HW
    Hae Won Park

    Massachusetts Institute of Technology, United States

    2 publications · 27 citations

    2

    h-index

1–5 of 79

Venues

  1. Psychological Science

    2 publications · 402 citations

    2

    h-index

  2. Robotics and Autonomous Systems

    2 publications · 58 citations

    2

    h-index

  3. Computer Graphics Forum

    2 publications · 48 citations

    2

    h-index

  4. Acta Psychologica

    1 publications · 34 citations

    1

    h-index

  5. ACM Transactions on Graphics

    TOG · 1 publications · 234 citations

    1

    h-index

1–5