Dynamic Gait Generation
Dynamic Gait Generation is a computational method in mobile robot locomotion that synthesizes adaptive, real-time footfall and body motion patterns by leveraging system dynamics and environmental feedback, distinguishing it from static or pre-programmed gait approaches through its reliance on continuous dynamic stability and temporal responsiveness.
110
Publications
4K
Citations
301
Authors
117
Institutions
Publications per year
2017–2026
26
Parents
110
1–5 of 110
301
Japan Advanced Institute of Science and Technology, Japan
16 publications · 511 citations
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4
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4
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1–5 of 301
117

Kobe University
Kobe, Japan
6 h-index
6 publications
148 citations
Japan Advanced Institute of Science and Technology
Nomi Shi, Japan
5 h-index
9 publications
206 citations
California Institute of Technology
Pasadena, United States
4 h-index
7 publications
401 citations
Tokyo Institute of Technology
Tokyo, Japan
4 h-index
4 publications
186 citations

Sapienza University of Rome
Rome, Italy
4 h-index
15 publications
554 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
6 publications
158 citations
Catalytic Materials (United States)
Pittsboro, United States
3 h-index
8 publications
362 citations
Virginia Tech
Blacksburg, United States
3 h-index
9 publications
198 citations
1–8 of 117
6 publications · 509 citations
6
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5 publications · 135 citations
5
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4 publications · 68 citations
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4 publications · 146 citations
4
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3 publications · 111 citations
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