Motion Learning From Demonstration

Motion Learning From Demonstration is a methodological framework within Learning From Demonstration that specifically focuses on acquiring and generalizing movement patterns from expert demonstrations through the modeling of spatiotemporal motion dynamics.

110

Publications

6.7K

Citations

318

Authors

135

Institutions

Publications per year

2017–2026

45

Authors

318

  1. AB
    Aude Billard

    École Polytechnique Fédérale de Lausanne, Switzerland

    16 publications · 2.6K citations

    16

    h-index

  2. SC
    Sylvain Calinon

    Idiap Research Institute, Switzerland

    7 publications · 1.4K citations

    7

    h-index

  3. JP
    Jan Peters

    Technische Universität Darmstadt, Germany

    7 publications · 289 citations

    7

    h-index

  4. DG
    Darwin G. Caldwell

    Italian Institute of Technology, Italy

    6 publications · 245 citations

    6

    h-index

  5. JK
    Jens Kober

    Delft University of Technology, Netherlands

    6 publications · 207 citations

    6

    h-index

1–5 of 318

Venues

  1. IEEE Robotics and Automation Letters

    8 publications · 275 citations

    8

    h-index

  2. The International Journal of Robotics Research

    IJRR · 3 publications · 301 citations

    3

    h-index

  3. IEEE Transactions on Robotics

    3 publications · 859 citations

    3

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Cognitive and Developmental Systems

    TCDS · 2 publications · 130 citations

    2

    h-index

1–5