Fuzzy Logic Analysis of Photovoltaic Data for Obstacle Avoidance or Mapping Robot
Electronics and Electrical Engineering 2013
Leslie Robert Adrian, Leonīds Ribickis

The utilization of only existing radiant sources in autonomous and mobile robotics is a relatively new field. These radiant sources, referred to as ambient radiation were “the noise and errors” in the production of various range finding and obstacle locating sensors. The research looks to developing methods to utilize this “noise” for autonomous robot mobility and addresses the inherent problems associated with dynamically changing environment analysis. A fuzzy logic topology is adapted in the processing of amplified data from an array of sensors in photovoltaic mode. The “fuzzified” data may be used for the purposes of obstacle avoidance or for higher level applications such as item location, fire detection and environmental mapping.


Keywords
fuzzy control, robot control, obstacle avoidance sensors
DOI
10.5755/j01.eee.19.1.3243
Hyperlink
http://www.eejournal.ktu.lt/index.php/elt/article/view/3243

Adrian, R., Ribickis, L. Fuzzy Logic Analysis of Photovoltaic Data for Obstacle Avoidance or Mapping Robot. Electronics and Electrical Engineering, 2013, Vol.19, No.1, pp.3-6. e-ISSN 2029-5731. ISSN 1392-1215. Available from: doi:10.5755/j01.eee.19.1.3243

Publication language
English (en)
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