Sparse Roadmaps
Sparse Roadmaps is a probabilistic roadmap method in motion planning that distinguishes itself by significantly reducing the density of sampled configurations and connecting edges, thereby optimizing computational efficiency while maintaining sufficient connectivity for path discovery in high-dimensional spaces.
29
Publications
1.4K
Citations
78
Authors
36
Institutions
Publications per year
2017–2026
10
Variants
Sparse Probabilistic Roadmaps
Parents
29
Trajectory Planning for Quadrotor Swarms
Wolfgang Hönig, James A. Preiss, T. K. Satish Kumar et al. · IEEE Transactions on Robotics · 2018 · 311 citations
Experience-based planning with sparse roadmap spanners
David Coleman, Ioan A. Şucan, Mark Moll et al. · 2015 · 73 citations
Large-scale joint map matching of GPS traces
Yang Li, Qixing Huang, Michael Kerber et al. · 2013 · 70 citations
1–5 of 29
78
Rutgers, The State University of New Jersey, United States
6 publications · 353 citations
6
h-index
Rutgers, The State University of New Jersey, United States
3 publications · 193 citations
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 78
36
Rutgers, The State University of New Jersey
New Brunswick, United States
4 h-index
7 publications
492 citations
University of Nevada, Reno
Reno, United States
3 h-index
6 publications
320 citations
Iowa State University
Ames, United States
2 h-index
2 publications
67 citations
Google (United States)
Mountain View, United States
2 h-index
3 publications
105 citations
Texas A&M University
College Station, United States
2 h-index
6 publications
201 citations

Tel Aviv University
Tel Aviv, Israel
2 h-index
6 publications
129 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
84 citations

Czech Technical University in Prague
Prague, Czechia
2 h-index
6 publications
186 citations
1–8 of 36
IJRR · 3 publications · 158 citations
3
h-index
3 publications · 76 citations
3
h-index
2 publications · 417 citations
2
h-index
1 publications · 34 citations
1
h-index
1 publications · 49 citations
1
h-index
1–5