Research on morphology optimization of heavy-duty industrial robots based on Kansei engineering and artificial intelligence generated content technology

基于感性工学和人工智能生成内容技术的重型工业机器人形态优化研究

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Abstract

With the rapid development of the automation industry, the performance and functional requirements of heavy-duty industrial robots (HDIRs) are rising. However, there are problems such as imitation and plagiarism, and neglect of aesthetic value in the current morphological design field of HDIRs, which restrict the coordinated development of visual and functional aspects. This study proposed an intelligent and innovative morphological optimization HDIR design method based on Kansei Engineering, curve blending algorithms, and artificial intelligence-generated content. This research aimed to integrate functionality with aesthetics for HDIRs, establishing a distinct brand identity through signature curved forms to create an eye-catching visual appeal and strong brand influence in the industrial environment. The design practice used a 210 kg welding HDIR as an example, which not only illustrates the application process and final results of the proposed design method in detail but also demonstrates the robot's capabilities. Moreover, its effectiveness and feasibility were preliminarily verified through a perceptual questionnaire and the Fuzzy Analytic Hierarchy Process. This intelligent innovative morphological optimization design method will help overcome the limitations of traditional industrial robot design. It meets the dual needs of modern industry for robot performance and morphology, and provides new perspectives and ideas for researchers in the field of industrial robot design. The research results enrich the theory and practice of industrial robot design, holding significant importance for enhancing the market competitiveness of products.

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