Roadmap Sparsification is a methodological framework within probabilistic motion planning that reduces the density of edges in a probabilistic roadmap while preserving connectivity and feasibility of paths, thereby enhancing computational efficiency in high-dimensional configuration spaces.
10
Publications
393
Citations
19
Authors
13
Institutions
Publications per year
2017–2026
1
Parents
Publications
10
Experience-based planning with sparse roadmap spanners
David Coleman, Ioan A. Şucan, Mark Moll et al. · 2015 · 73 citations
Improving sparse roadmap spanners
Andrew Dobson, Kostas E. Bekris · 2013 · 53 citations
1–5 of 10
Authors
19
- KEKostas E. Bekris
Rutgers, The State University of New Jersey, United States
4 publications · 229 citations
4
h-index
- DH
2
h-index
- JD
2
h-index
- DS
2
h-index
- ADAndrew Dobson
Rutgers, The State University of New Jersey, United States
2 publications · 175 citations
2
h-index
1–5 of 19
Institutions
13
Duke University
Durham, United States
2 h-index
2 publications
43 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
4 publications
350 citations
University of Nevada, Reno
Reno, United States
2 h-index
4 publications
108 citations
Tel Aviv University
Tel Aviv, Israel
2 h-index
6 publications
129 citations
Data61
Sydney, Australia
1 h-index
1 publications
22 citations
Google (United States)
Mountain View, United States
1 h-index
1 publications
73 citations
University of Colorado Boulder
Boulder, United States
1 h-index
2 publications
146 citations
Columbia University
New York, United States
1 h-index
1 publications
12 citations
1–8 of 13
Venues
- The International Journal of Robotics Research
IJRR · 3 publications · 158 citations
3
h-index
- 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
Conference · 1 publications · 20 citations
1
h-index
- Proceedings of the International Conference on Automated Planning and Scheduling
1 publications · 22 citations
1
h-index
1–3