云环境下的工业机器人零件抓取实验系统设计

Design of Industrial Robot Part Grasping Experimental System under Cloud Environment

设计了一种云环境下的工业机器人零件抓取实验系统。该系统基于面向工业机器人的云边端架构,应用云计算、机器视觉、网络通信,以及多机协同交互技术,实现了工业机器人对零件的动态抓取。实验系统经实验测试,结果表明,此系统能够实现对多种零件的动态抓取。通过在云环境下设计的工业机器人零件抓取系统,可以充分利用云平台的存储能力和计算优势,突破了传统的工业机器人抓取系统存在的本地数据资源和计算资源的限制,在应用层面上提高了工业机器人的智能化水平。同时,设计了零件识别与定位实验和零件动态抓取教学实验,以达到培养学生创新意识及综合能力的目的。

An experimental system for industrial robot under the cloud environment is designed for dynamic grasping parts,it relies on the cloud-edge-terminal framework and technologies including cloud computing,machine vision,network communication,and multi machine cooperative interaction.The test results show that a variety of parts can be grasped by the proposed system,which breaks limitation of local’s computation and data resources,and characterizes intelligence features of industrial robot.Two teaching experiments are designed,including the part recognition and positioning experiment and dynamic part grasping experiment,to cultivate students’creative consciousness and comprehensive ability.