Optimization-based Gait Generation

Optimization-Based Gait Generation is a gait generation method that formulates locomotion planning as a mathematical optimization problem to determine optimal joint trajectories and contact forces by minimizing a cost function subject to dynamic and environmental constraints.

76

Publications

2.9K

Citations

205

Authors

83

Institutions

Publications per year

2017–2026

18

Authors

205

  1. AD
    Aaron D. Ames

    California Institute of Technology, United States

    6 publications · 398 citations

    6

    h-index

  2. AH
    Ayonga Hereid

    Georgia Institute of Technology, United States

    5 publications · 361 citations

    5

    h-index

  3. DK
    Dilip Kumar Pratihar

    Indian Institute of Technology Kharagpur, India

    4 publications · 131 citations

    4

    h-index

  4. HP
    Hồ Phạm Huy Ánh

    Ho Chi Minh City University of Technology, Vietnam

    4 publications · 70 citations

    4

    h-index

  5. TT
    Tran Thien Huan

    Ho Chi Minh City University of Technology, Vietnam

    3 publications · 53 citations

    3

    h-index

1–5 of 205

Venues

  1. Robotica

    6 publications · 290 citations

    6

    h-index

  2. Robotics and Autonomous Systems

    4 publications · 165 citations

    4

    h-index

  3. Advanced Robotics

    3 publications · 142 citations

    3

    h-index

  4. International Journal of Advanced Robotic Systems

    ARS · 2 publications · 33 citations

    2

    h-index

  5. IEEE Robotics and Automation Letters

    2 publications · 159 citations

    2

    h-index

1–5