Vision-guided Cutting

Vision-Guided Cutting is a robotic cutting method that utilizes real-time visual feedback to dynamically adjust and precisely control the cutting path, thereby distinguishing itself from non-visual or pre-programmed cutting techniques through its reliance on sensory perception for accuracy and adaptability.

31

Publications

802

Citations

147

Authors

46

Institutions

Publications per year

2017–2026

20

Authors

147

  1. MC
    Ming Cong

    Dalian University of Technology, China

    2 publications · 32 citations

    2

    h-index

  2. EM
    Eirin Marie Skjøndal Bar

    SINTEF, Norway

    2 publications · 41 citations

    2

    h-index

  3. AM
    Angelo Mencarelli

    Wageningen University & Research, Netherlands

    1 publications · 17 citations

    2

    h-index

  4. DL
    Dong Liu

    Dalian University of Technology, China

    2 publications · 32 citations

    2

    h-index

  5. JR
    John Reidar Mathiassen

    SINTEF, Norway

    2 publications · 41 citations

    2

    h-index

1–5 of 147

Venues

  1. IEEE/ASME Transactions on Mechatronics

    2 publications · 87 citations

    2

    h-index

  2. 2

    h-index

  3. Robotics and Autonomous Systems

    1 publications · 19 citations

    1

    h-index

  4. Materials and Manufacturing Processes

    1 publications · 36 citations

    1

    h-index

  5. 1

    h-index

1–5