Robotic Manipulation Planning

Robotic Manipulation Planning is a computational framework within model-based robot learning that specifically addresses the generation of feasible and optimal sequences of robot motions and interactions to achieve dexterous manipulation tasks in structured environments.

542

Publications

32.7K

Citations

1.4K

Authors

365

Institutions

Publications per year

2017–2026

234

Authors

1.4K

  1. SS
    Siddhartha S Srinivasa

    Carnegie Mellon University, United States

    16 publications · 3.9K citations

    16

    h-index

  2. TL
    Tomás Lozano‐Pérez

    Massachusetts Institute of Technology, United States

    19 publications · 1.4K citations

    15

    h-index

  3. MT
    Marc Toussaint

    University of Stuttgart, Germany

    16 publications · 1.3K citations

    15

    h-index

  4. PA
    Pieter Abbeel

    University of California, Berkeley, United States

    15 publications · 2.6K citations

    15

    h-index

  5. JK
    James Kuffner

    Carnegie Mellon University, United States

    15 publications · 2.5K citations

    14

    h-index

1–5 of 1.4K

Venues

  1. IEEE Robotics and Automation Letters

    35 publications · 1.7K citations

    22

    h-index

  2. arXiv (Cornell University)

    Repository · 37 publications · 2K citations

    21

    h-index

  3. The International Journal of Robotics Research

    IJRR · 24 publications · 3K citations

    20

    h-index

  4. IEEE Transactions on Robotics

    14 publications · 1.7K citations

    13

    h-index

  5. Robotics and Autonomous Systems

    10 publications · 446 citations

    10

    h-index

1–5