工业机器人和多轴机电一体化控制系统复杂功能模块仿真过程中的虚拟接口技术

A. Zelensky, M. Zhdanova, T. Abdullin, V. Voronin
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引用次数: 2

摘要

研究目的。开发用于调试智能控制系统算法的工具,包括工业机器人视觉系统的开发和软件轨迹的规划。为了实现这一目标,对现有仿真工具进行了回顾。提出了一种非接触式人机交互协议。提出了一种基于三维二进制微块的差异和人体骨架结构的手势指令识别算法。给出了一个应用ROBOGuid软件工具模拟工业机器人运动的实例,着重于实际对象对其自身控制方法的开发和调试。在工业4.0新概念和第六次技术秩序形成的背景下,利用技术设备的数字孪生在虚拟环境中模拟和展示真实的技术过程,可以改进主要和辅助生产过程,并分析,研究和评估新技术和技术解决方案的经济效率。仿真允许开发人体与机电物体交互的符合人体工程学的方法。以模拟零件铣削加工的复杂空间轮廓的计算为例,对所提出的方法进行了验证。本文提出的手势指令识别算法在公开的UCF101数据集上进行了实验研究,结果与已知的人类动作识别方法进行了比较。将所开发的接口模块应用于模拟零件铣削的复杂空间轮廓的计算实例,表明了非接触式机器人控制系统方法的有效性和该方向发展的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual Interface Technology in the Process of Simulation of Complex Functional Modules of Control Systems for Industrial Robots and Multi-Axis Mechatronic Systems
Purpose of research. Development of a tool for debugging intelligent control system algorithms, including the development of a vision system and planning a software trajectory for an industrial robot.Methods. To achieve this goal, a review of existing simulation tools was carried out. A protocol of contactless humanrobot interaction is presented. An algorithm for the recognition of gesture commands based on the difference of three-dimensional binary microblocks and the construction of the skeleton of the human body has been developed. An example of using the ROBOGuid software tool for imitating the motion of an industrial robot in the development and debugging of its own control methods focused on real objects is presented.Results. The use of digital twins of technological equipment to simulate and display real technological processes in a virtual environment, in the context of the formation of a new concept of Industry 4.0 and the sixth technological order, allows improving the main and auxiliary production processes, as well as analyzing, researching and evaluating the economic efficiency of new technological and technical solutions. Simulation allows the development of ergonomic ways of human interaction with mechatronic objects. The solution proposed in the work was tested on the example of working out a complex spatial contour that simulates the milling of a part. Experimental studies of the gesture command recognition algorithm proposed in the work were carried out on the publicly available UCF101 dataset, the results are compared with known approaches to recognizing human actions.Conclusion. The developed interface module was used on the example of working out a complex spatial contour that simulates the milling of a part, and the method of a contactless robot control system has shown its effectiveness and the need to develop this direction.
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