Lyapunov-based Learning
Lyapunov-Based Learning is a control-theoretic framework in safe robot learning that employs Lyapunov functions as stability certificates to guide or constrain the learning process, ensuring dynamical stability and safety through formal verification of system trajectories.
78
Publications
4.5K
Citations
204
Authors
100
Institutions
Publications per year
2017–2026
50
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University of Florida
Gainesville, United States
3 h-index
8 publications
198 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
7 publications
201 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
9 publications
632 citations

Northwestern Polytechnical University
Xi'an, China
3 h-index
8 publications
599 citations
Google (United States)
Mountain View, United States
2 h-index
3 publications
310 citations

Harbin Institute of Technology
Harbin, China
2 h-index
5 publications
353 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
2 publications
98 citations

Southeast University
Nanjing, China
2 h-index
2 publications
138 citations
1–8 of 100
Repository · 7 publications · 452 citations
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2 publications · 67 citations
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3 publications · 92 citations
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3 publications · 415 citations
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3 publications · 299 citations
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