Spline-based Trajectory Optimization

Spline-Based Trajectory Optimization is a trajectory optimization method that employs spline functions as smooth, piecewise polynomial representations of the trajectory to ensure continuity and differentiability, distinguishing itself by enabling efficient gradient-based optimization over compact, parameterized path curves.

48

Publications

2.1K

Citations

143

Authors

58

Institutions

Publications per year

2017–2026

15

Authors

143

  1. GP
    Goele Pipeleers

    KU Leuven, Belgium

    4 publications · 201 citations

    4

    h-index

  2. AP
    Aurelio Piazzi

    University of Parma, Italy

    4 publications · 129 citations

    4

    h-index

  3. DC
    Douglas C. Noll

    University of Michigan, United States

    2 publications · 93 citations

    2

    h-index

  4. TM
    Tim Mercy

    KU Leuven, Belgium

    2 publications · 153 citations

    2

    h-index

  5. DS
    Dan Simon

    University of Southern California, United States

    2 publications · 70 citations

    2

    h-index

1–5 of 143

Venues

  1. Mechanical sciences

    2 publications · 72 citations

    2

    h-index

  2. IEEE Transactions on Medical Imaging

    2 publications · 93 citations

    2

    h-index

  3. Mathematical Methods in the Applied Sciences

    1 publications · 37 citations

    1

    h-index

  4. Journal of Mechanical Design

    1 publications · 15 citations

    1

    h-index

  5. International Journal of Control

    1 publications · 50 citations

    1

    h-index

1–5