基于Kansei工程和人工智能产生的内容技术的重型工业机器人的形态优化研究
Mingsong Jiang1, Yuhong Han2, Hongju Guang3
1College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing, 100124, China.
Scientific reports
|December 29, 2025
概括
本研究介绍了重型工业机器人 (HDIR) 的创新设计方法,将美学与功能相结合. 这种方法通过克服传统的设计局限性,提高了机器人的吸引力和市场竞争力.
科学领域:
- 机器人和自动化机器人与自动化
- 工业设计 工业设计 工业设计
- 人工智能的人工智能
背景情况:
- 对于重型工业机器人 (HDIR) 的性能需求不断提高,与当前设计的局限性形成鲜明对比,包括模仿和忽视美学.
- 缺乏审美考虑阻碍了HDR的视觉吸引力和功能协调发展.
- 现有的HDIR设计实践往往忽视了品牌身份和市场差异化.
研究的目的:
- 为HDIRs提出一个智能和创新的形态优化设计方法.
- 将功能与美学相结合,通过标志性的曲线形式建立独特的品牌身份.
- 在工业环境中增强HDR的视觉吸引力和市场影响力.
主要方法:
- 康工程原理应用于高清IRR形态设计.
- 用于审美形式生成的曲线混合算法.
- 整合用于创新的设计解决方案的人工智能生成的内容.
- 一个重达210公斤的接HDIR被用作一个实际的案例研究.
主要成果:
- 展示拟议的智能设计方法的应用过程和最终结果.
- 在HDIR例子中,功能和美学的成功整合.
- 通过感知问卷和模糊分析层次过程对设计方法的有效性和可行性的初步验证.
- 增强视觉吸引力和在工业环境中具有强大的品牌影响力的潜力.
结论:
- 拟议的智能设计方法克服了传统HDR设计的局限性.
- 它解决了现代工业中对先进机器人性能和吸引人的形态学的双重需求.
- 该研究为工业机器人设计提供了新的视角,丰富了理论和实践.
- 通过改进设计,显著提高产品市场竞争力的潜力.
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