Polynomial Trajectory Generation

Polynomial Trajectory Generation is a trajectory generation method that employs polynomial functions to parameterize the time-dependent path of a dynamic system, distinguishing itself by ensuring smoothness and continuity in derivatives through analytically defined coefficients.

72

Publications

3.3K

Citations

207

Authors

87

Institutions

Publications per year

2017–2026

27

Authors

207

  1. FG
    Fei Gao

    Zhejiang University, China

    3 publications · 120 citations

    3

    h-index

  2. YG
    Yi Guo

    Stevens Institute of Technology, United States

    2 publications · 36 citations

    2

    h-index

  3. MC
    Mark Cutler

    Massachusetts Institute of Technology, United States

    2 publications · 180 citations

    2

    h-index

  4. CC
    Ching‐Yao Chan

    University of California, Berkeley, United States

    2 publications · 94 citations

    2

    h-index

  5. PW
    Pin Wang

    University of California, Berkeley, United States

    2 publications · 94 citations

    2

    h-index

1–5 of 207

Venues

  1. IFAC Proceedings Volumes

    3 publications · 55 citations

    3

    h-index

  2. Journal of Guidance Control and Dynamics

    1 publications · 11 citations

    2

    h-index

  3. The International Journal of Robotics Research

    IJRR · 2 publications · 97 citations

    2

    h-index

  4. 2

    h-index

  5. IEEE Robotics and Automation Letters

    2 publications · 579 citations

    2

    h-index

1–5