Concepedia

Residual Dynamics Learning

Residual Dynamics Learning is a model-based robot learning approach that augments an approximate analytical dynamics model with a learned residual component to capture unmodeled or complex physical interactions, thereby improving prediction accuracy in sim-to-real transfer scenarios.

9

Publications

457

Citations

47

Authors

18

Institutions

Publications per year

2017–2026

9

Parents

Publications

9

NeuroBEM: Hybrid Aerodynamic Quadrotor Model

Leonard Bauersfeld, Elia Kaufmann, Philipp Foehn et al. · 2021 · 110 citations · Full text

, , +17

Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions

Guanya Shi, Wolfgang Hönig, Xichen Shi et al. · IEEE Transactions on Robotics · 2021 · 77 citations

, , +16

Offline-Online Learning of Deformation Model for Cable Manipulation With Graph Neural Networks

Changhao Wang, Yuyou Zhang, Xiang Zhang et al. · IEEE Robotics and Automation Letters · 2022 · 62 citations · Full text

, , +17

Online Learning of Unknown Dynamics for Model-Based Controllers in Legged Locomotion

Yu Sun, Wyatt Ubellacker, Wen-Loong Ma et al. · IEEE Robotics and Automation Letters · 2021 · 52 citations

, , +17

Data-efficient control policy search using residual dynamics learning

Matteo Saveriano, Yuchao Yin, Pietro Falco et al. · 2017 · 43 citations

, , +16

1–5 of 9

Authors

47

  1. XZ
    Xiang Zhang

    University of California, Berkeley, United States

    2 publications · 114 citations

    2

    h-index

  2. CW
    Changhao Wang

    University of California, Berkeley, United States

    2 publications · 114 citations

    2

    h-index

  3. MT
    Masayoshi Tomizuka

    University of California, Berkeley, United States

    2 publications · 114 citations

    2

    h-index

  4. MS
    Matteo Saveriano

    Technical University of Munich, Germany

    1 publications · 43 citations

    1

    h-index

  5. CL
    Chen Liu

    National Engineering Research Center for Information Technology in Agriculture, China

    1 publications · 19 citations

    1

    h-index

1–5 of 47

Institutions

18

  1. California Institute of Technology

    Pasadena, United States

    2 h-index

    9 publications

    593 citations

  2. ETH Zurich

    Zurich, Switzerland

    2 h-index

    7 publications

    628 citations

  3. University of California, Berkeley

    Berkeley, United States

    2 h-index

    11 publications

    632 citations

  4. University of Zurich

    Zurich, Switzerland

    2 h-index

    7 publications

    628 citations

  5. Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

    Cologne, Germany

    1 h-index

    1 publications

    43 citations

  6. Shanghai Jiao Tong University

    Shanghai, China

    1 h-index

    1 publications

    62 citations

  7. Huazhong University of Science and Technology

    Wuhan, China

    1 h-index

    5 publications

    70 citations

  8. Chinese Academy of Sciences

    Beijing, China

    1 h-index

    1 publications

    19 citations

1–8 of 18

Venues

  1. IEEE Robotics and Automation Letters

    2 publications · 114 citations

    2

    h-index

  2. Applied Intelligence

    1 publications · 14 citations

    1

    h-index

  3. Nature Neuroscience

    1 publications · 39 citations

    1

    h-index

  4. IEEE Transactions on Robotics

    1 publications · 77 citations

    1

    h-index

  5. Scientific Reports

    1 publications · 11 citations

1–5