@inproceedings{c964d7a773424b648f27435ab804ff6b,
title = "Autonomous navigation strategies for mobile robots using a probabilistic neural network (PNN)",
abstract = "This paper presents a methodology for autonomous navigation of mobile robots with differential traction in poorly structured environments. The objective of die developed system is to navigate in areas with different types of obstacles could exist to go from one point to another without collision. The navigation methodology uses a Probabilistic Neuronal Network (PNN) as a decision core for control the motion of the mobile robot during its path. The methodology is implemented in the Optimus System, and the results obtained allow validate its performance.",
author = "V. Castro and Neira, {J. P.} and Rueda, {C. L.} and Villamizar, {J. C.} and L. Angel",
year = "2007",
doi = "10.1109/IECON.2007.4459992",
language = "Ingl{\'e}s",
isbn = "1424407834",
series = "IECON Proceedings (Industrial Electronics Conference)",
pages = "2795--2800",
booktitle = "Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON",
note = "33rd Annual Conference of the IEEE Industrial Electronics Society, IECON ; Conference date: 05-11-2007 Through 08-11-2007",
}