Robust Trajectory Optimization
Robust Trajectory Optimization is a trajectory optimization framework that belongs to the class of motion planning methods distinguished by its explicit incorporation of uncertainties and disturbances to ensure feasibility and performance guarantees under varying operational conditions.
94
Publications
4.3K
Citations
285
Authors
128
Institutions
Publications per year
2017–2026
57
94
Dongfang Xu, Yan Sun, Derrick Wing Kwan Ng et al. · IEEE Transactions on Communications · 2020 · 214 citations
Natural Sciences, Aerospace Engineering, Systems Engineering +17
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128

UNSW Sydney
Sydney, Australia
5 h-index
5 publications
671 citations
ETH Zurich
Zurich, Switzerland
5 h-index
9 publications
418 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
5 h-index
9 publications
354 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
13 publications
1.3K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
9 publications
157 citations
American Institute of Aeronautics and Astronautics
Reston, United States
4 h-index
10 publications
1.1K citations
Tongji University
Shanghai, China
3 h-index
13 publications
239 citations
Beijing Jiaotong University
Beijing, China
3 h-index
8 publications
186 citations
1–8 of 128
7 publications · 473 citations
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3 publications · 475 citations
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3 publications · 114 citations
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3 publications · 126 citations
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2 publications · 316 citations
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1–5