In order to improve automatization of the mowing robot in its navigation ability, we use the GPS receiver and a digital box and needle. By using the technology of Kalman filter, the GPS/DR combination navigation system can improve other disadvantage of navigation technique in agriculture robots. In this paper, we introduce our GPS/DR system, and give our examination data and result

In order to solve the problems in control of the mowing robot in its avoiding stumbling bock, The method of fuzzy control with path layout is used based on the distance measure sensors .The disposal of the system of ultrasonic sensors and infrared sensors is given. The results of the experiments of the mowing robot in control of its avoiding stumbling bock through VC++ programmer show that the method is agile and steady.

Due to the complicated barriers it is difficult to track the path of the mowing robot and to avoid barriers. In order to solve the problem a method based on distance measuring sensors and fuzzy control was proposed. Its track was composed of beelines and easy to tail. The fuzzy control inputs were based on the front barrier distance and the difference between the left and right barrier distance measured by ultrasonic sensors; the output was the direction angle. The infrared sensors around the robot improved its safety in avoiding barriers. The results of the experiments of the mowing robot in control of its avoiding barriers showed that the method was feasible, agile and stable. The distance between the robot and barriers could be changed through altering the inputs and outputs of fuzzy control and the length of the beelines.The sensors disposed can fulfil the need of robot’s avoiding barriers.