Sampling-based Trajectory Planning
Sampling-Based Trajectory Planning is a trajectory generation method that belongs to the class of motion planning techniques and is distinguished by its reliance on randomly or strategically sampling configurations in the state space to construct feasible trajectories, rather than exhaustively exploring or optimizing over the entire space.
277
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15.7K
Citations
639
Authors
249
Institutions
Publications per year
2017–2026
130
Parents
277
The Open Motion Planning Library
Ioan A. Şucan, Mark Moll, Lydia E. Kavraki · IEEE Robotics & Automation Magazine · 2012 · 1.6K citations
1–5 of 277
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University of Illinois Urbana-Champaign, United States
8 publications · 353 citations
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8
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249
Massachusetts Institute of Technology
Cambridge, United States
18 h-index
60 publications
4K citations
Carnegie Mellon University
Pittsburgh, United States
15 h-index
38 publications
3K citations
University of Illinois Urbana-Champaign
Urbana, United States
11 h-index
21 publications
866 citations

Rice University
Houston, United States
10 h-index
24 publications
6.2K citations
University of Southern California
Los Angeles, United States
9 h-index
23 publications
1.1K citations
Stanford University
Stanford, United States
8 h-index
20 publications
3K citations
Catholic University of America
Washington D.C., United States
7 h-index
10 publications
307 citations

Tel Aviv University
Tel Aviv, Israel
6 h-index
13 publications
698 citations
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IJRR · 15 publications · 2K citations
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15 publications · 560 citations
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Repository · 8 publications · 211 citations
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7 publications · 691 citations
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5 publications · 200 citations
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