Probabilistic Path Planning
Probabilistic Path Planning is a path planning methodology that belongs to the class of stochastic motion planning techniques, distinguished by its incorporation of probabilistic models to account for uncertainty in environment, sensor data, or system dynamics when generating feasible trajectories for obstacle avoidance.
229
Publications
20.8K
Citations
611
Authors
240
Institutions
Publications per year
2017–2026
73
Variants
Probabilistic Motion Planning
Parents
229
Sebastian Thrun · Communications of the ACM · 2002 · 8K citations
Robert Bohlin, Lydia E. Kavraki · 2000 · 858 citations
1–5 of 229
611
Laboratoire d'Analyse et d'Architecture des Systèmes, France
8 publications · 593 citations
8
h-index
6
h-index
Laboratoire d'Analyse et d'Architecture des Systèmes, France
5 publications · 751 citations
5
h-index
5
h-index
4
h-index
1–5 of 611
240
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
43 publications
3.9K citations

Laboratoire d'Analyse et d'Architecture des Systèmes
Toulouse, France
11 h-index
41 publications
2.8K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
29 publications
1.6K citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
14 publications
10.3K citations

Rice University
Houston, United States
6 h-index
8 publications
2K citations
University of Oxford
Oxford, United Kingdom
5 h-index
13 publications
422 citations

Université Fédérale de Toulouse Midi-Pyrénées
Toulouse, France
4 h-index
9 publications
287 citations
University of Technology Sydney
Sydney, Australia
4 h-index
11 publications
508 citations
1–8 of 240
5 publications · 237 citations
5
h-index
4 publications · 200 citations
4
h-index
4 publications · 195 citations
4
h-index
IJRR · 4 publications · 680 citations
4
h-index
Conference · 4 publications · 152 citations
4
h-index
1–5