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Key Ingredients for Improving Process Quality at High-Level Cyber-Physical Robot Grinding Systems

机译:在高级网络物理机器人研磨系统中提高过程质量的关键成分

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Industrial robots have been applied in labor-intensive and high-risk jobs such as grinding, polishing, deburring, etc. However, traditional robotic manufacturing systems require skillful experts to advise the robot programming for controlling manufacturing efficiency and quality. Based on the level of automation, an advanced cyber-physical robot grinding system has been developed to increase efficiency, improve quality, and save human effort. The proposed system consists of robot trajectory generation and optimization, force-based trajectory modification, vision-based grinding machine localization, and acoustic emission based abrasive belt wear-life analysis. Compared with traditional robot tuning processes, the process quality of the proposed system is better than that, and the tuning time is shortened from 14 days to 1-2 days.
机译:工业机器人已应用于劳动密集型和高风险的工作,例如打磨,抛光,去毛刺等。但是,传统的机器人制造系统需要熟练的专家来建议机器人编程以控制制造效率和质量。基于自动化水平,已经开发了先进的网络物理机器人研磨系统,以提高效率,提高质量并节省人工。拟议的系统包括机器人轨迹的生成和优化,基于力的轨迹修改,基于视觉的磨床定位以及基于声发射的砂带磨损寿命分析。与传统的机器人调试过程相比,所提系统的过程质量更好,调试时间从14天缩短为1-2天。

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