Automatic Process Planning

Automatic Process Planning is a computational method within subtractive robotic fabrication that autonomously generates optimal toolpaths and machining sequences from a digital part model by integrating geometric analysis, process constraints, and robotic kinematics to enable efficient and precise material removal without human intervention.

134

Publications

4.3K

Citations

334

Authors

136

Institutions

Publications per year

2017–2026

20

Authors

334

  1. RA
    Richard A. Wysk

    Pennsylvania State University, United States

    6 publications · 170 citations

    6

    h-index

  2. TC
    Tien‐Chien Chang

    Purdue University West Lafayette, United States

    4 publications · 127 citations

    4

    h-index

  3. NX
    Nuo Xu

    University of Cincinnati, United States

    3 publications · 68 citations

    3

    h-index

  4. SH
    Samuel H. Huang

    University of Cincinnati, United States

    3 publications · 68 citations

    3

    h-index

  5. MT
    Ming‐June Tsai

    National Cheng Kung University, Taiwan

    3 publications · 132 citations

    3

    h-index

1–5 of 334

Venues

  1. International Journal of Production Research

    14 publications · 381 citations

    11

    h-index

  2. 11

    h-index

  3. CIRP Annals

    8 publications · 171 citations

    8

    h-index

  4. Computers & Industrial Engineering

    6 publications · 114 citations

    6

    h-index

  5. Journal of Manufacturing Systems

    6 publications · 187 citations

    6

    h-index

1–5