Hybrid Control
Hybrid Control is a control framework that integrates multiple distinct control paradigms—such as model-based and data-driven, or rigid and compliant strategies—within a single cohesive system to leverage their complementary strengths in managing the dynamic behavior of mobile or soft robots under varying operational constraints.
2.2K
Publications
93.5K
Citations
5.5K
Authors
1.5K
Institutions
Publications per year
2017–2026
678
2.2K
1–5 of 2.2K
5.5K
University of California, Santa Barbara, United States
23 publications · 2.5K citations
18
h-index
University of California, Santa Cruz, United States
25 publications · 2.3K citations
18
h-index
13
h-index
13
h-index
11
h-index
1–5 of 5.5K
1.5K

Centre National de la Recherche Scientifique
Paris, France
23 h-index
135 publications
5K citations
University of California, Santa Barbara
Santa Barbara, United States
22 h-index
47 publications
3.6K citations

Kyoto University
Kyoto, Japan
21 h-index
48 publications
3.6K citations
University of California, Berkeley
Berkeley, United States
20 h-index
69 publications
7.2K citations

Southeast University
Nanjing, China
19 h-index
43 publications
2.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
19 h-index
34 publications
3.9K citations

Huazhong University of Science and Technology
Wuhan, China
19 h-index
90 publications
4.2K citations
Massachusetts Institute of Technology
Cambridge, United States
18 h-index
39 publications
3.7K citations
1–8 of 1.5K
41 publications · 3.2K citations
31
h-index
42 publications · 5.8K citations
29
h-index
33 publications · 2.1K citations
26
h-index
24 publications · 1.4K citations
20
h-index
34 publications · 997 citations
20
h-index
1–5