Robot Trajectory Generation

Robot Trajectory Generation is a computational method that synthesizes time-parameterized paths in joint or Cartesian space, distinguished by its integration of kinematic constraints, dynamic limitations, and task requirements to ensure feasible, smooth, and collision-free motion execution for industrial robotic systems.

2.2K

Publications

105.2K

Citations

4.9K

Authors

1.3K

Institutions

Publications per year

2017–2026

668

Authors

4.9K

  1. VK
    Vijay Kumar

    University of Pennsylvania, United States

    23 publications · 5.3K citations

    19

    h-index

  2. FG
    Fei Gao

    Zhejiang University, China

    16 publications · 1.6K citations

    14

    h-index

  3. FV
    Francisco Valero

    Universitat Politècnica de València, Spain

    13 publications · 354 citations

    12

    h-index

  4. SS
    Shaojie Shen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    13 publications · 1.7K citations

    12

    h-index

  5. JL
    Jean‐Paul Laumond

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    13 publications · 831 citations

    12

    h-index

1–5 of 4.9K

Venues

  1. The International Journal of Robotics Research

    IJRR · 62 publications · 7K citations

    36

    h-index

  2. IEEE Transactions on Robotics

    55 publications · 4.1K citations

    36

    h-index

  3. Robotics and Computer-Integrated Manufacturing

    48 publications · 3.1K citations

    32

    h-index

  4. IEEE Robotics and Automation Letters

    65 publications · 4.1K citations

    32

    h-index

  5. Robotics and Autonomous Systems

    45 publications · 2.5K citations

    28

    h-index

1–5