Name
Abstract | ||
|---|---|---|
This paper presents an improved variation of Probabilistic Foam Method (PFM) for robot path planning. In PFM, a structure named probabilistic foam, formed by bubbles propagate through the free space from initial configuration to goal as a breadth-first search, obtaining a collision-free path. Although the method is able to obtain a navigable path, it is computationally expensive. We propose a new foam propagation approach inspired on random tree growth from RRT. Results from simulation experiments using 2D and 3D map show benefits with the new method. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICARSC.2018.8374183 | 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) |
Keywords | Field | DocType |
autonomous robotics,path planning,collision-free path,probabilistic foam method,bubbles of free-space | Motion planning,Random tree,Computer science,Robot path planning,Algorithm,Free space,Probabilistic logic | Conference |
ISSN | ISBN | Citations |
2573-9360 | 978-1-5386-5222-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis B. P. Nascimento | 1 | 0 | 0.34 |
| Diego S. Pereira | 2 | 0 | 0.34 |
| Pablo J. Alsina | 3 | 9 | 3.51 |
| Mauricio R. Silva | 4 | 0 | 0.34 |
| Daniel H. S. Fernandes | 5 | 0 | 0.34 |
| Valber C. C. Roza | 6 | 0 | 0.34 |
| Armando S. Sanca | 7 | 0 | 0.34 |