Task Planning

Task Planning is a computational process within robot motion planning that determines a sequence of high-level actions or operations to achieve a specified goal, distinguished from related planning forms by its focus on discrete, symbolic reasoning about tasks rather than low-level geometric or kinematic trajectories.

1K

Publications

49K

Citations

2.6K

Authors

727

Institutions

Publications per year

2017–2026

377

Authors

2.6K

  1. TL
    Tomás Lozano‐Pérez

    Massachusetts Institute of Technology, United States

    18 publications · 2K citations

    16

    h-index

  2. DN
    Dana Nau

    University of Maryland, College Park, United States

    17 publications · 2K citations

    15

    h-index

  3. LP
    Leslie Pack Kaelbling

    Massachusetts Institute of Technology, United States

    17 publications · 1.8K citations

    14

    h-index

  4. RA
    Rachid Alami

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

    16 publications · 1.4K citations

    14

    h-index

  5. LE
    Lydia E. Kavraki

    Rice University, United States

    12 publications · 729 citations

    12

    h-index

1–5 of 2.6K

Venues

  1. arXiv (Cornell University)

    Repository · 38 publications · 1.4K citations

    21

    h-index

  2. The International Journal of Robotics Research

    IJRR · 21 publications · 1.9K citations

    20

    h-index

  3. IEEE Robotics and Automation Letters

    26 publications · 930 citations

    19

    h-index

  4. 18

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 18 publications · 617 citations

    15

    h-index

1–5