dc.contributor.author |
Ferrari, Fabricio |
|
dc.date.accessioned |
2011-10-28T12:54:57Z |
|
dc.date.available |
2011-10-28T12:54:57Z |
|
dc.date.issued |
2009 |
|
dc.identifier.citation |
FERRARI, F.. A new parameterized potential family for path planning algorithms. International Journal on Artificial Intelligence Tools, v. 18, n. 6, p. 949-957, 2009. Disponível em: <http://www.ferrari.pro.br/home/publications/papers/FFerrari_IJAIT2009_00047.pdf>. Acesso em: 25 out. 2011. |
pt_BR |
dc.identifier.uri |
http://repositorio.furg.br/handle/1/1148 |
|
dc.description.abstract |
In this work, it is proposed a new family of potentials for path planning algorithms, one
kind to the goal and other to the obstacles. With these new potentials it is possible to
parameterize the potential scale length and strength easily, providing better control over
the moving object path characteristics. In this way, the path problem can be treated
analytically. For example, the minimum distance between the moving object and the
obstacles can be calculated as a function of the potential parameters. Simulations are
made to test its ability to guide a vehicle through an obstacle-free path towards the
goal. The success rate of the moving object on reaching the goal is compared with the
potential parameters and with obstacle configuration and distribution parameters. |
pt_BR |
dc.language.iso |
eng |
pt_BR |
dc.rights |
open access |
pt_BR |
dc.subject |
Autonomous navigation |
pt_BR |
dc.subject |
Potential theory |
pt_BR |
dc.subject |
Path planning |
pt_BR |
dc.title |
A new parameterized potential family for path planning algorithms |
pt_BR |
dc.type |
article |
pt_BR |