Walking Pattern Synthesis

Walking Pattern Synthesis is a computational method that generates temporally coherent and dynamically feasible sequences of footstep placements and body motions for bipedal locomotion, distinguished by its focus on constructing naturalistic walking trajectories from high-level constraints or environmental context.

87

Publications

4.1K

Citations

230

Authors

93

Institutions

Publications per year

2017–2026

8

Authors

230

  1. LT
    Luca Turchet

    University of Trento, Italy

    6 publications · 111 citations

    6

    h-index

  2. FK
    Fumio Kanehiro

    National Institute of Advanced Industrial Science and Technology, Japan

    6 publications · 415 citations

    6

    h-index

  3. KK
    Kenji Kaneko

    National Institute of Advanced Industrial Science and Technology, Japan

    5 publications · 384 citations

    5

    h-index

  4. SK
    Shuuji Kajita

    National Institute of Advanced Industrial Science and Technology, Japan

    4 publications · 355 citations

    4

    h-index

  5. MM
    Mitsuharu Morisawa

    National Institute of Advanced Industrial Science and Technology, Japan

    4 publications · 208 citations

    4

    h-index

1–5 of 230

Venues

  1. Advanced Robotics

    4 publications · 212 citations

    4

    h-index

  2. 2

    h-index

  3. VBN Forskningsportal (Aalborg Universitet)

    Repository · 2 publications · 40 citations

    2

    h-index

  4. IEEE Transactions on Affective Computing

    TAC · 2 publications · 32 citations

    2

    h-index

  5. The International Journal of Robotics Research

    IJRR · 2 publications · 177 citations

    2

    h-index

1–5