Computational Joinery Design

Computational Joinery Design is a systematic method that integrates algorithmic modeling, geometric computation, and digital fabrication constraints to generate optimized, structurally sound, and manufacturable woodworking joints, distinguishing it from conventional manual or heuristic-based joinery design approaches.

4

Publications

225

Citations

11

Authors

8

Institutions

Publications per year

2017–2026

3

Authors

11

  1. YG
    Yotam Gingold

    George Mason University, United States

    2 publications · 88 citations

    2

    h-index

  2. MA
    Maneesh Agrawala

    University of California, Berkeley, United States

    2 publications · 88 citations

    2

    h-index

  3. DM
    Danny M. Kaufman

    Adobe Systems (United States), United States

    2 publications · 88 citations

    2

    h-index

  4. JY
    JiaXian Yao

    University of California, Berkeley, United States

    2 publications · 88 citations

    2

    h-index

  5. PC
    Paolo Cignoni

    Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Italy

    1 publications · 74 citations

    1

    h-index

1–5 of 11

Venues

  1. ACM Transactions on Graphics

    TOG · 3 publications · 162 citations

    3

    h-index

  2. Construction Robotics

    1 publications · 11 citations

1–2