Gait Pattern Generation

Gait Pattern Generation is a computational method that specifies the systematic synthesis of footstep sequences and body motions to achieve stable and efficient locomotion in legged robots, distinguished from related planning techniques by its focus on generating temporally coordinated, dynamically feasible gait cycles adapted to terrain and mobility constraints.

662

Publications

30K

Citations

1.8K

Authors

624

Institutions

Publications per year

2017–2026

149

Authors

1.8K

  1. KK
    Kenji Kaneko

    National Institute of Advanced Industrial Science and Technology, Japan

    28 publications · 5.9K citations

    23

    h-index

  2. SK
    Shuuji Kajita

    National Institute of Advanced Industrial Science and Technology, Japan

    28 publications · 5.9K citations

    23

    h-index

  3. FK
    Fumio Kanehiro

    National Institute of Advanced Industrial Science and Technology, Japan

    17 publications · 4.5K citations

    17

    h-index

  4. HH
    Hirohisa Hirukawa

    National Institute of Advanced Industrial Science and Technology, Japan

    18 publications · 4.5K citations

    17

    h-index

  5. MM
    Mitsuharu Morisawa

    National Institute of Advanced Industrial Science and Technology, Japan

    17 publications · 945 citations

    15

    h-index

1–5 of 1.8K

Venues

  1. Robotics and Autonomous Systems

    25 publications · 997 citations

    19

    h-index

  2. Advanced Robotics

    14 publications · 427 citations

    12

    h-index

  3. Gait & Posture

    14 publications · 962 citations

    12

    h-index

  4. The International Journal of Robotics Research

    IJRR · 11 publications · 673 citations

    11

    h-index

  5. Robotica

    12 publications · 414 citations

    11

    h-index

1–5