Minimum-snap Trajectories
Minimum-Snap Trajectories is a trajectory optimization method that generates smooth, dynamically feasible paths for robotic systems by minimizing the integral of the fourth derivative of position (snap) over time, thereby distinguishing itself from other trajectory generation techniques through its emphasis on higher-order continuity and energy efficiency.
20
Publications
3K
Citations
59
Authors
24
Institutions
Publications per year
2017–2026
16
Variants
Minimum-snap Trajectory
Parents
20
1–5 of 20
59
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The University of Texas at Austin, United States
2 publications · 44 citations
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2
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2
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1–5 of 59
24
The University of Texas at Austin
Austin, United States
2 h-index
5 publications
115 citations
Chongqing University of Posts and Telecommunications
Chongqing, China
2 h-index
9 publications
174 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
5 publications
4.7K citations
University of Klagenfurt
Klagenfurt, Austria
1 h-index
3 publications
84 citations
German University in Cairo
Cairo, Egypt
1 h-index
3 publications
78 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
5 publications
110 citations
University of Southern California
Los Angeles, United States
1 h-index
2 publications
46 citations
Electronics and Telecommunications Research Institute
Daejeon, South Korea
1 h-index
4 publications
80 citations
1–8 of 24
1 publications · 18 citations
1
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1 publications · 28 citations
1
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1 publications · 11 citations
1
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1 publications · 124 citations
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Conference · 1 publications · 26 citations
1
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