Concepedia

Learning-based Gait Generation

Learning-Based Gait Generation is a computational framework within gait generation that employs machine learning models to autonomously acquire and optimize locomotion patterns from data, distinguishing it from rule-based or analytical approaches by its reliance on learned representations rather than explicit programming.

81

Publications

3.2K

Citations

225

Authors

106

Institutions

Publications per year

2017–2026

33

Parents

Publications

81

Policy gradient reinforcement learning for fast quadrupedal locomotion

Nate Kohl, Peter Stone · 2004 · 586 citations

, , +17

GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks

Shiqi Yu, Haifeng Chen, Edel García-Reyes et al. · 2017 · 209 citations

, , +13

Iterative learning control of a drop foot neuroprosthesis — Generating physiological foot motion in paretic gait by automatic feedback control

Thomas Seel, Jörg Raisch, Thomas Schauer · Control Engineering Practice · 2016 · 133 citations

, , +14

Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback

Pete B. Shull, Kristen L. Lurie, Mark R. Cutkosky et al. · Journal of Biomechanics · 2011 · 130 citations · Full text

, , +17

Fuzzy neural network approaches for robotic gait synthesis

Jih‐Gau Juang · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2000 · 90 citations

, , +17

1–5 of 81

Authors

225

  1. GB
    Gary B. Parker

    Connecticut College, United States

    5 publications · 98 citations

    5

    h-index

  2. SH
    Sang-Ho Hyon

    Ritsumeikan University, Japan

    3 publications · 44 citations

    3

    h-index

  3. SS
    Satoshi Satoh

    Nagoya University, Japan

    3 publications · 44 citations

    3

    h-index

  4. YF
    Yuan F. Zheng

    The Ohio State University, United States

    3 publications · 91 citations

    3

    h-index

  5. JJ
    Jih‐Gau Juang

    National Taiwan Ocean University, Taiwan

    3 publications · 129 citations

    3

    h-index

1–5 of 225

Institutions

106

  1. The Ohio State University

    Columbus, United States

    4 h-index

    5 publications

    135 citations

  2. Chinese Academy of Sciences

    Beijing, China

    4 h-index

    18 publications

    651 citations

  3. Nagoya University

    Nagoya, Japan

    4 h-index

    10 publications

    152 citations

  4. University of Chinese Academy of Sciences

    Beijing, China

    4 h-index

    13 publications

    484 citations

  5. University of California, Berkeley

    Berkeley, United States

    3 h-index

    14 publications

    401 citations

  6. Michigan State University

    East Lansing, United States

    3 h-index

    3 publications

    112 citations

  7. Technical University of Munich

    Munich, Germany

    3 h-index

    4 publications

    138 citations

  8. Connecticut College

    New London, United States

    3 h-index

    3 publications

    57 citations

1–8 of 106

Venues

  1. Neurocomputing

    3 publications · 90 citations

    4

    h-index

  2. Journal of Biomechanics

    3 publications · 198 citations

    3

    h-index

  3. 3

    h-index

  4. IEEE Robotics and Automation Letters

    3 publications · 135 citations

    3

    h-index

  5. Multimedia Tools and Applications

    1 publications · 63 citations

    2

    h-index

1–5