Mobile Robot Navigation Research And Supply Base On Fused Intelligent Algorithm

The autonomous navigation under unknown environment, usually has the massive obstacles to hinder mobile robot's advance, the robot must in these limited working conditions, seeks one optimal path that not have the collision and the time-consumption or the energy-consumption is smallest, arrives the assigned location and completes the work.Overseas an obvious trend is uses the artificial potential field law, the grid law, grey theory, fuzzy logic, neural network and genetic algorithm in this aspect research, or synthesizes this technology methods to achieve the goal,and in varying degrees useing the neural network, the genetic algorithm, the fuzzy control method is the current research key point in particular.The autonomous navigation under unknown environment, usually has the massive obstacles to hinder mobile robot's advance, the robot must in these limited working conditions, seeks one optimal path that not have the collision and the time-consumption or the energy-consumption is smallest, arrives the assigned location and completes the work.Overseas an obvious trend is uses the artificial potential field law, the grid law, grey theory, fuzzy logic, neural network and genetic algorithm in this aspect research, or synthesizes this technology methods to achieve the goal,and in varying degrees useing the neural network, the genetic algorithm, the fuzzy control method is the current research key point in particular.This article prime task is carries on the mobile robot's autonomous navigation algorithm research under unknown environment, by underlieing the fuzzy logic the control, and fuses the neural network, the fuzzy logic, as well as the fuzzy logic, the genetic algorithm method for the mobile robot's autonomous navigation control algorithm under unknown environment, and takes it as the present paper research topic.