Adaptive Cutting Control

Adaptive Cutting Control is a robotic control framework that dynamically adjusts cutting parameters in real-time based on sensory feedback and environmental uncertainties to maintain precision and efficiency during material separation tasks.

57

Publications

1.6K

Citations

150

Authors

66

Institutions

Publications per year

2017–2026

17

Authors

150

  1. KC
    Kai Cheng

    Brunel University of London, United Kingdom

    2 publications · 101 citations

    2

    h-index

  2. RW
    Rui Wu

    Harbin Institute of Technology, China

    1 publications · 39 citations

    2

    h-index

  3. JR
    Joost R. Duflou

    KU Leuven, Belgium

    2 publications · 36 citations

    2

    h-index

  4. MT
    Masayoshi Tomizuka

    University of California, Berkeley, United States

    2 publications · 72 citations

    2

    h-index

  5. EF
    Ehsan Fallahi Sichani

    KU Leuven, Belgium

    2 publications · 36 citations

    2

    h-index

1–5 of 150

Venues

  1. Journal of Engineering for Industry

    4 publications · 95 citations

    4

    h-index

  2. CIRP Annals

    4 publications · 162 citations

    4

    h-index

  3. 4

    h-index

  4. 3

    h-index

  5. Precision Engineering

    2 publications · 39 citations

    2

    h-index

1–5