Design of a Control System for a Safflower Picking Robot and Research on Multisensor Fusion Positioning

Abstract

This paper discusses the design of a safflower picking robot control system and focuses on a navigation control subsystem based on multisensor fusion. A navigation subsystem, an identification and positioning subsystem, a picking subsystem, and a levelling subsystem are designed. The hardware and software of the navigation subsystem are designed in detail, and a multisensor fusion positioning method based on extended Kalman fusion technology is proposed. The accuracy and stability levels of different combined navigation methods are compared. To test the effectiveness and accuracy of the proposed method, an outdoor test is carried out. The test results show that the outdoor fusion positioning accuracy of the robot is less than 8 cm, and when the satellite signal is lost, the navigation control subsystem can still provide high positioning accuracy. The final positioning result obtained using the integrated positioning method of the wheel odometer + IMU + DGNSS is approximately 52% higher than that of the odometer, approximately 29% higher than that of the wheel odometer + IMU, and approximately 11% higher than that of the IMU + DGNSS.

Safflower Picking Trajectory Planning Strategy Based on an Ant Colony Genetic Fusion Algorithm

“…During the flowering period, safflower capitula progressively blooms from the top of the main stem toward the tops of the peripheral branches. Consequently, optimizing the efficiency of safflower-harvesting robots becomes a critical endeavor [5,6].…”