Dynamical Movement Primitives

Dynamical Movement Primitives is a mathematical framework for motor skill learning that represents movements as stable, nonlinear dynamical systems with attractor dynamics, enabling the encoding, generalization, and adaptation of demonstrated trajectories in robot learning from demonstration.

281

Publications

16.3K

Citations

656

Authors

255

Institutions

Publications per year

2017–2026

144

Variants

Dmps

Authors

656

  1. AU
    Aleš Ude

    Jožef Stefan Institute, Slovenia

    27 publications · 1.7K citations

    20

    h-index

  2. JP
    Jan Peters

    Technische Universität Darmstadt, Germany

    20 publications · 2K citations

    17

    h-index

  3. AG
    Andrej Gams

    Jožef Stefan Institute, Slovenia

    20 publications · 1.1K citations

    16

    h-index

  4. JM
    Jun Morimoto

    Advanced Telecommunications Research Institute International, Japan

    15 publications · 1.2K citations

    14

    h-index

  5. BN
    Bojan Nemec

    Jožef Stefan Institute, Slovenia

    13 publications · 849 citations

    12

    h-index

1–5 of 656

Venues

  1. IEEE Robotics and Automation Letters

    23 publications · 833 citations

    18

    h-index

  2. IEEE Transactions on Robotics

    9 publications · 943 citations

    9

    h-index

  3. Robotics and Autonomous Systems

    9 publications · 452 citations

    9

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 238 citations

    6

    h-index

  5. IEEE Transactions on Cognitive and Developmental Systems

    TCDS · 6 publications · 309 citations

    6

    h-index

1–5