Inverse Dynamics Modeling
Inverse Dynamics Modeling is a computational modeling technique that, given observed robot motion states and applied forces, estimates the underlying dynamic relationships governing joint accelerations by mapping motion trajectories and control inputs to the corresponding torques or forces required to produce them, distinguishing it from forward dynamics modeling by predicting causes from effects rather than effects from causes.
791
Publications
39K
Citations
2.1K
Authors
788
Institutions
Publications per year
2017–2026
170
Parents
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2.1K
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Advanced Telecommunications Research Institute International, Japan
6 publications · 914 citations
6
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1–5 of 2.1K
788
University of Southern California
Los Angeles, United States
18 h-index
54 publications
5.1K citations
The University of Tokyo
Tokyo, Japan
15 h-index
40 publications
1.5K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
50 publications
3.5K citations
Carnegie Mellon University
Pittsburgh, United States
12 h-index
18 publications
1.1K citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
9 h-index
14 publications
1.7K citations

University of Waterloo
Waterloo, Canada
9 h-index
23 publications
526 citations
Tsinghua University
Beijing, China
9 h-index
22 publications
788 citations

Université Fédérale de Toulouse Midi-Pyrénées
Toulouse, France
9 h-index
26 publications
1.7K citations
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MSSE · 18 publications · 1.6K citations
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16 publications · 2K citations
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JAB · 19 publications · 739 citations
15
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17 publications · 805 citations
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15 publications · 1.1K citations
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