Paint Path Optimization

Paint Path Optimization is a computational method in painting robotics that determines the most efficient trajectory for a robotic manipulator to follow during surface coating, distinguished by its focus on minimizing paint waste, application time, and energy consumption while ensuring uniform coverage.

20

Publications

726

Citations

74

Authors

26

Institutions

Publications per year

2017–2026

9

Authors

74

  1. JS
    Johan S. Carlson

    Fraunhofer Chalmers Research Centre for Industrial Mathematics, Sweden

    3 publications · 101 citations

    3

    h-index

  2. FE
    Fredrik Edelvik

    Fraunhofer Chalmers Research Centre for Industrial Mathematics, Sweden

    3 publications · 101 citations

    3

    h-index

  3. NS
    Niklas Sandgren

    Fraunhofer Chalmers Research Centre for Industrial Mathematics, Sweden

    2 publications · 75 citations

    2

    h-index

  4. DG
    Daniel Gleeson

    Fraunhofer Chalmers Research Centre for Industrial Mathematics, Sweden

    2 publications · 75 citations

    2

    h-index

  5. RS
    Raad Salman

    Chalmers University of Technology, Sweden

    2 publications · 75 citations

    2

    h-index

1–5 of 74

Venues

  1. Assembly Automation

    1 publications · 12 citations

    1

    h-index

  2. Engineering With Computers

    1 publications · 148 citations

    1

    h-index

  3. IEEE Robotics and Automation Letters

    1 publications · 32 citations

    1

    h-index

  4. Electronics

    1 publications · 22 citations

    1

    h-index

  5. International Journal of Manufacturing Research

    IJMR · 1 publications · 26 citations

    1

    h-index

1–5