Trajectory Planning

Trajectory Planning is a computational method in robot motion planning that generates a time-parameterized path specifying the desired geometric and dynamic evolution of a robot’s configuration over time to achieve safe and efficient navigation.

7K

Publications

360.8K

Citations

16K

Authors

2.8K

Institutions

Publications per year

2017–2026

3K

Authors

16K

  1. VK
    Vijay Kumar

    University of Pennsylvania, United States

    38 publications · 4.2K citations

    28

    h-index

  2. ML
    Maxim Likhachev

    Carnegie Mellon University, United States

    30 publications · 4.4K citations

    24

    h-index

  3. FG
    Fei Gao

    Zhejiang University, China

    29 publications · 3.5K citations

    23

    h-index

  4. ZS
    Zvi Shiller

    University of California, Los Angeles, United States

    22 publications · 3.6K citations

    21

    h-index

  5. AT
    Antonios Tsourdos

    Cranfield University, United Kingdom

    26 publications · 1.9K citations

    21

    h-index

1–5 of 16K

Venues

  1. IEEE Transactions on Robotics

    95 publications · 9.9K citations

    52

    h-index

  2. The International Journal of Robotics Research

    IJRR · 111 publications · 18K citations

    51

    h-index

  3. 47

    h-index

  4. Robotics and Autonomous Systems

    117 publications · 7.1K citations

    45

    h-index

  5. IEEE Access

    132 publications · 6.1K citations

    44

    h-index

1–5