Fuzzy Logic Analysis of Photovoltaic Data for Obstacle Avoidance or Mapping Robot

Authors

  • L. R. Adrian Riga Technical University
  • L. Ribickis Riga Technical University

DOI:

https://doi.org/10.5755/j01.eee.19.1.3243

Keywords:

Fuzzy control, robot control, obstacle avoidance sensors

Abstract

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.

DOI: http://dx.doi.org/10.5755/j01.eee.19.1.3243

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Published

2013-01-08

How to Cite

Adrian, L. R., & Ribickis, L. (2013). Fuzzy Logic Analysis of Photovoltaic Data for Obstacle Avoidance or Mapping Robot. Elektronika Ir Elektrotechnika, 19(1), 3-6. https://doi.org/10.5755/j01.eee.19.1.3243

Issue

Vol. 19 No. 1 (2013)

Section

AUTOMATION, ROBOTICS

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