基于图像识别的工业机器人控制系统设计

Design of Industrial Robot Control System Based on Image Recognition

在智能制造领域,工业机器人与人工智能技术融合,可用于机器人的自主控制和智能化操作,提高机器人的感知、学习、决策和执行能力。结合人工智能与工业机器人,提出了基于图像识别的工业机器人写数字系统。通过TensorFlow识别手写数字图像,将获取的数字信息通过Modbus TCP通信方式传输给工业机器人,工业机器人获取数字图像后将数字描绘出来。采用埃夫特ER3-600工业机器人进行系统测试及验证,实验结果达到了预期,为后续实现图像轨迹自动化识别和机器人智能操作提供参考。

This paper combines artificial intelligence and industrial robots to propose an image recognition-based industrial robot writing number system.By recognizing handwritten digital images with TensorFlow,the acquired digital information is transmitted to the industrial robot through Modbus TCP communication,and the industrial robot draws the number after obtaining the digital image.This paper uses the EFORT ER3-600 industrial robot for system testing and verification,and the experimental results meet expectations,providing reference value for the subsequent realization of automatic image trajectory recognition and intelligent robot operation.