Minimum-snap Trajectories

Minimum-Snap Trajectories is a trajectory optimization method that generates smooth, dynamically feasible paths for robotic systems by minimizing the integral of the fourth derivative of position (snap) over time, thereby distinguishing itself from other trajectory generation techniques through its emphasis on higher-order continuity and energy efficiency.

20

Publications

3K

Citations

59

Authors

24

Institutions

Publications per year

2017–2026

16

Variants

Minimum-snap Trajectory

Authors

59

  1. YL
    Yanyu Liu

    Chongqing University of Posts and Telecommunications, China

    2 publications · 39 citations

    2

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  2. MM
    Marcelino M. de Almeida

    The University of Texas at Austin, United States

    2 publications · 44 citations

    2

    h-index

  3. QQ
    Qiong Qin

    Chongqing University of Posts and Telecommunications, China

    2 publications · 39 citations

    2

    h-index

  4. MR
    Maruthi R. Akella

    The University of Texas at Austin, United States

    2 publications · 44 citations

    2

    h-index

  5. JL
    Jiakai Lu

    Chongqing University of Posts and Telecommunications, China

    2 publications · 39 citations

    2

    h-index

1–5 of 59

Venues

  1. Applied Sciences

    1 publications · 18 citations

    1

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  2. IEEE Transactions on Robotics

    1 publications · 28 citations

    1

    h-index

  3. IFAC-PapersOnLine

    1 publications · 11 citations

    1

    h-index

  4. AIAA Journal

    1 publications · 124 citations

    1

    h-index

  5. 1

    h-index

1–5