Hierarchical Model-Based Control is a model-based control framework that decomposes complex decision-making tasks into multiple levels of abstraction by employing a hierarchy of learned models, where higher levels plan over long-term goals using coarse, simplified dynamics and lower levels execute refined actions through more detailed, localized models, thereby enabling scalable and efficient planning in high-dimensional robotic systems.
153
Publications
9K
Citations
488
Authors
213
Institutions
Publications per year
2017–2026
61
Parents
Publications
153
Control and Coordination in Hierarchical Systems
John R. Beaumont, W. Findeisen, F. N. Bailey et al. · Journal of the Operational Research Society · 1981 · 321 citations · Full text
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Institutions
213
University of California, Berkeley
Berkeley, United States
6 h-index
16 publications
2K citations
Delft University of Technology
Delft, The Netherlands
5 h-index
8 publications
547 citations
Tsinghua University
Beijing, China
5 h-index
12 publications
309 citations
University of Michigan
Ann Arbor, United States
4 h-index
9 publications
726 citations
National Institute of Standards and Technology
Gaithersburg, United States
4 h-index
12 publications
999 citations
Universidad de Sevilla
Seville, Spain
4 h-index
7 publications
228 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
10 publications
964 citations
ETH Zurich
Zurich, Switzerland
3 h-index
9 publications
273 citations
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Venues
- IEEE Transactions on Control Systems Technology
6 publications · 522 citations
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- Applied Energy
5 publications · 227 citations
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- Transportation Research Part C Emerging Technologies
4 publications · 394 citations
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- IEEE Transactions on Intelligent Transportation Systems
4 publications · 255 citations
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- IFAC Proceedings Volumes
4 publications · 102 citations
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