@article{20bea204-ab49-41f0-8070-5ffaa89044ab,
author = {Áron Ballagi, László T. Kóczy},
title = {Robot path planning map pre-optimization by Multilayer Fuzzy Situational Maps},
journal = {Czasopismo Techniczne},
volume = {2013},
number = {Automatyka Zeszyt 4-AC (12) 2013},
year = {2014},
issn = {0011-4561},
pages = {65-75},keywords = {fuzzy situational maps; mobile robotics},
abstract = {Intelligent robot path planning require have very complex decision-making and computational processes. Collecting and calculating a high amount of data is one of the weakest points of a such system. In addition, it is necessarily processed in real-time on a limited computational capacity. In this paper, we propose some novel algorithms for coping with these problems and give some information about Fuzzy Situational Maps and their use as a multidimensional extension of Fuzzy Signatures. An example takes to the field of path planning map pre-optimization by Fuzzy Situational Map.},
doi = {10.4467/2353737XCT.14.048.3956},
url = {https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/robot-path-planning-map-pre-optimization-by-multilayer-fuzzy-situational-maps}
}