Task-space Trajectory Planning

Task-Space Trajectory Planning is a robotic motion planning method that generates reference trajectories in task space by specifying desired end-effector positions, orientations, and their temporal profiles, distinguishing itself from joint-space approaches through its direct coordination of motion with respect to the external environment.

41

Publications

1.1K

Citations

108

Authors

53

Institutions

Publications per year

2017–2026

19

Authors

108

  1. SC
    S. Chiaverini

    Università degli studi di Cassino e del Lazio Meridionale, Italy

    3 publications · 122 citations

    3

    h-index

  2. XW
    Xueqian Wang

    Tsinghua University, China

    2 publications · 48 citations

    2

    h-index

  3. SY
    Seong Youb Chung

    Korea National University of Transportation, South Korea

    2 publications · 27 citations

    2

    h-index

  4. PC
    Pasquale Chiacchio

    University of Salerno, Italy

    2 publications · 112 citations

    2

    h-index

  5. MJ
    Myun Joong Hwang

    Korea National University of Transportation, South Korea

    2 publications · 27 citations

    2

    h-index

1–5 of 108

Venues

  1. Robotics and Autonomous Systems

    3 publications · 56 citations

    3

    h-index

  2. Acta Astronautica

    3 publications · 73 citations

    3

    h-index

  3. IEEE Robotics and Automation Letters

    2 publications · 66 citations

    2

    h-index

  4. Journal of Mechanical Design

    2 publications · 21 citations

    2

    h-index

  5. IEEE Transactions on Robotics

    2 publications · 65 citations

    2

    h-index

1–5