Smoothness Cost Functions

Smoothness Cost Functions is a mathematical framework in path planning that quantifies trajectory regularity by penalizing deviations from desired smoothness criteria, such as curvature continuity or acceleration bounds, within optimization-based motion generation.

54

Publications

3.7K

Citations

146

Authors

86

Institutions

Publications per year

2017–2026

12

Authors

146

  1. DM
    Dwarikanath Mahapatra

    ETH Zurich, Switzerland

    5 publications · 267 citations

    5

    h-index

  2. JM
    Joachim M. Buhmann

    ETH Zurich, Switzerland

    3 publications · 161 citations

    3

    h-index

  3. MS
    Michelle Schatzman

    Université Claude Bernard Lyon 1, France

    1 publications · 21 citations

    2

    h-index

  4. MK
    Mrinal Kalakrishnan

    University of Southern California, United States

    1 publications · 881 citations

    1

    h-index

  5. XW
    Xu‐Jia Wang

    Australian National University, Australia

    1 publications · 136 citations

    1

    h-index

1–5 of 146

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 85 citations

    3

    h-index

  2. IEEE Transactions on Image Processing

    2 publications · 581 citations

    2

    h-index

  3. 2

    h-index

  4. Robotics and Autonomous Systems

    2 publications · 149 citations

    2

    h-index

  5. The International Journal of Robotics Research

    IJRR · 1 publications · 113 citations

    1

    h-index

1–5