Search

A fuzzy control system was designed to command driving directions for a mountain agriculture robot. First, a fuzzy control system program was developed based on the scheme of the robot driving control system. Then, the core part of the system--the fuzzy controller--was designed. Finally, a system model was created and a simulation test was conducted through the application of the Fuzzy Toolbox in MATLAB and SIMULINK. The results showed that the system is effective. [ABSTRACT FROM AUTHOR]

To solve the problems of instability of agricultural robot when avoiding obstacles, a kind of navigation method which combined monocular visual navigation technology and remote monitoring technology was proposed: using the centerline method to extract the navigation path to achieve visual navigation; the monitoring center received two-way real-time image signals of the agricultural robot, when the agricultural robot met the obstacle or other situations, the remote monitoring center would start the alarm, then the operators could send control signals through the monitoring software to implement manual intervention. The experiment showed that the system improved the reliability of the navigation. [ABSTRACT FROM AUTHOR]

To solve the problems of instability of agricultural robot when avoiding obstacles, a kind of navigation method which combined monocular visual navigation technology and remote monitoring technology was proposed: using the centerline method to extract the navigation path to achieve visual navigation; the monitoring center received two-way real-time image signals of the agricultural robot, when the agricultural robot met the obstacle or other situations, the remote monitoring center would start the alarm, then the operators could send control signals through the monitoring software to implement manual intervention. The experiment showed that the system improved the reliability of the navigation. [ABSTRACT FROM AUTHOR]