基于数字孪生技术的工业机器人路径规划与仿真研究

Research on Path Planning and Simulation of Industrial Robot Based on Digital Twin Technology

摘要

随着工业自动化的发展，工业机器人在制造业中发挥着越来越重要的作用。路径规划作为工业机器人核心技术之一，直接影响机器人作业效率和精准度。传统的路径规划方法通常忽视了环境变化和机器人状态的动态性，难以适应复杂和变化的工作环境。数字孪生技术通过创建真实系统的虚拟模型，能够实时监控并预测机器人行为，在路径规划中具有显著优势。本研究基于数字孪生技术，提出了一种新的工业机器人路径规划方法。通过建立数字孪生模型，结合路径优化算法，实时调整机器人路径，实现了更高效的路径规划与控制。本文还进行了路径规划仿真，验证了所提出方法在实际应用中的可行性和效果。

Abstract

With the development of industrial automation, industrial robots play an increasingly important role in the manufacturing industry. As one of the core technologies of industrial robots, path planning directly affects the efficiency and accuracy of robot operation. Traditional path planning methods usually ignore the environmental change and the dynamics of the robot state, making it difficult to adapt to the complex and changing working environment. Digital twinning technology has a significant advantage in path planning by creating virtual models of real systems that can monitor and predict robot behavior in real time. This study presents a new path planning method for industrial robots based on digital twinning techniques. By establishing the digital twin model and combining the path optimization algorithm and adjusting the robot path in real time, more efficient path planning and control are realized. This paper also performs a path planning simulation to verify the feasibility and effect of the proposed method in practical application.

关键词

数字孪生 / 工业机器人 / 路径规划 / 仿真 / 优化算法

Key words

digital twin / industrial robot / path planning / simulation / optimization algorithm

参考文献

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