Fuzzy Logic Analysis of Photovoltaic Data for Obstacle Avoidance or Mapping Robot
Keywords:Fuzzy control, robot control, obstacle avoidance sensors
AbstractThe 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.
How to Cite
The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.
By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.