智能农业机器人系统中的机电一体化设计与实现OA

Agricultural robots are important equipment for improving agricultural production efficiency and reducing labor input.This paper designs an intelligent agricultural robot system based on PLC and CAN bus distributed control architec-ture to address the problems of insufficient utilization of perception information,low navigation stability,and the need to strengthen job decision-making ability in the autonomous operation of robots in complex farmland environments.The system adopts a modular mechanical structure and integrates visual LiDAR、Multi source information such as soil mois-ture sensors and IMUs are used to enhance the robot's ability to recognize,locate,and make decisions in the working en-vironment.Further analysis was conducted on the autonomous operation process of robots in field scenes by combining path planning and task scheduling methods.The experimental results show that the system performs well in terms of job accuracy,operational efficiency,and environmental adaptability,indicating its feasibility and promotion foundation in agricultural robot applications.