Model Predictive Trajectory Generation
Model Predictive Trajectory Generation is a trajectory generation method that iteratively computes optimal reference paths by minimizing a cost function over a finite prediction horizon using a dynamic system model, while recursively updating the solution based on feedback to ensure feasibility and adaptivity.
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5K
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323
Authors
137
Institutions
Publications per year
2017–2026
52
Parents
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Hongyan Guo, Dongpu Cao, Hong Chen et al. · Mechanical Systems and Signal Processing · 2018 · 209 citations
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Beijing Institute of Technology
Beijing, China
5 h-index
11 publications
369 citations
ETH Zurich
Zurich, Switzerland
5 h-index
23 publications
2.5K citations
University of California, Berkeley
Berkeley, United States
5 h-index
9 publications
1.3K citations

National University of Defense Technology
Changsha, China
5 h-index
17 publications
860 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
352 citations
KU Leuven
Leuven, Belgium
4 h-index
8 publications
441 citations
Liebherr (Austria)
Lienz, Austria
3 h-index
4 publications
100 citations
University of Michigan
Ann Arbor, United States
3 h-index
7 publications
270 citations
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3 publications · 107 citations
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3 publications · 63 citations
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2 publications · 95 citations
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2 publications · 53 citations
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3 publications · 240 citations
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