Structural design and optimization are important topics for the control and design of industrial robots. The motivation behind this research is to design a robot gripper mechanism. To explore robust design of the robot gripper mechanism, a new optimization approach based on a grasshopper optimization algorithm and Nelder–Mead algorithm is developed for requiring a fast and accurate solution. Additionally, a vehicle side crash design problem, a multi‐clutch disc problem, and a manufacturing optimization problem are solved with the developed method to show the advantages of the new technique (HGOANM). Both engineering comparisons and production problem results in which HGOANM is applied are compared with the latest optimization techniques in the literature. The results of the problems resolved in this article reveal that the developed HGOANM is an essential optimization approach by solving real‐world engineering problems quickly and accurately.

中文翻译：

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使用新型混合蚱optimization优化算法的机器人抓取器机构的鲁棒性设计

结构设计和优化是工业机器人的控制和设计的重要主题。这项研究的动机是设计一种机器人抓取器机构。为了探索机器人抓取器机构的鲁棒设计，开发了一种基于蚱hopper优化算法和Nelder-Mead算法的新优化方法，以要求快速而准确的解决方案。此外，通过开发的方法解决了车辆侧面碰撞设计问题，多离合器盘问题和制造优化问题，从而展示了新技术（HGOANM）的优势。将应用HGOANM的工程比较和生产问题结果与文献中的最新优化技术进行了比较。