Adaptive Gait Control

Adaptive Gait Control is a computational framework within bipedal locomotion and prosthetic gait analysis that enables real-time modulation of motor outputs to maintain stable and efficient ambulation in response to dynamic environmental perturbations and user-specific biomechanical variations.

90

Publications

4.3K

Citations

313

Authors

143

Institutions

Publications per year

2017–2026

29

Authors

313

  1. SH
    Shigeo Hirose

    Tokyo Institute of Technology, Japan

    4 publications · 460 citations

    4

    h-index

  2. JG
    John G. Buckley

    University of Bradford, United Kingdom

    4 publications · 187 citations

    4

    h-index

  3. YP
    Yi‐Chung Pai

    University of Illinois Chicago, United States

    3 publications · 381 citations

    3

    h-index

  4. TB
    Tanvi Bhatt

    University of Illinois Chicago, United States

    3 publications · 381 citations

    3

    h-index

  5. SH
    Sarah Hood

    University of Utah, United States

    2 publications · 176 citations

    2

    h-index

1–5 of 313

Venues

  1. Gait & Posture

    6 publications · 278 citations

    6

    h-index

  2. Experimental Brain Research

    5 publications · 397 citations

    5

    h-index

  3. Advanced Robotics

    3 publications · 140 citations

    3

    h-index

  4. Journal of NeuroEngineering and Rehabilitation

    JNER · 3 publications · 61 citations

    3

    h-index

  5. IEEE Transactions on Robotics

    3 publications · 123 citations

    3

    h-index

1–5