Steady-State Genetic Algorithm forSelf-localizatio n inIlluminance Measurement ofAMobile Robot
Hironobu Sasaki, Naoyuki Kubota, Kazuhiko Taniguchi · 2006
Thispaperproposes asteady-state genetic algorithm forself-localizatio n and map building forilluminance measurement ofamobile robot. Themapisrepresented by2 dimensional discrete cellspace. According tothemeasured distance bylaser rangefinder, themapisupdated sequentially. Whenthedifference between themeasured distance andthe mapdataislarge, asteady-state genetic algorithm corrects the self-location. Finally we showcomputersimulation and experimental results oftheproposed method.