Development of a robotic measuring system for the equivalence analysis of surface materials by using sensor fusion

利用传感器融合开发用于表面材料等效性分析的机器人测量系统

• 批准号: 405963282
• 负责人: Professor Dr.-Ing. Robert Schmitt
• 金额: --
• 依托单位: Forschungsbereich Fertigungsmeßtechnik und Qualitätsmanagement
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/405963282?language=en
• 关键词: Development; robotic; measuring; system; equivalence

The overall objective of the research project is the development of a robot-based, objective measuring system for the equivalence analysis of polymer surfaces and possible sustainable substitutes by means of sensor data fusion.To extend the use of sustainable materials in automotive interiors, for example, it must be ensured by objective processes that new and sustainable materials are perceived and accepted as comparable conventional materials in terms of their sensory value and the quality impression of the customer. Research shows that the human brain uses several senses, thus multimodal, to pick up the information needed for the comparison of materials and their qualities. In the case of the perception of surface features the human brain primarily uses haptical, optical and auditory sensory modalities. Previous studies often describe the material perception of humans only on the basis of haptic models. Multivariate models, which incorporate the optic and auditory perception of humans as well, have received only occasional attention in research so far. For a more precise modeling of human multisensory perception and stimulus processing, a combination of multimodal sensory impressions with the data of a multi-sensor system is necessary.Consequently, this reveals the corresponding research gap of how the multisensory (visual, acoustical, haptical) perceived equivalence in terms of the sensory value and quality impression of materials can be approximated in a technical system. In order to achieve the intended research goal, on the one hand sensory human studies are carried out to record the multimodal perceived equivalence. For the objective description of the surface materials various descriptors are implemented, which are internationally applicable descriptions for product characterizations. On the other hand, a measuring system for the characterization and testing of surface materials by means of haptic, optical and acoustic sensors is realized. The principles of sensor data fusion represent a potential approach to combine several technical sensors , in analogy to human stimulus uptake. To illustrate the quality of alternative polymers, this research project focuses on the equivalence of conventional polymers with possible recycled or biodegradable polymers.

研究项目的总体目标是开发基于机器人的客观测量系统，用于通过传感器数据融合来对聚合物表面和可能的可持续替代物进行等效分析。为了扩展在自动内部内部的可持续材料的使用，例如，必须通过将新的和可持续的材料作为可感知的和可比性的材料来确保其物质质量和质量的物有所有的质量来确保其目标和可持续性的材料。研究表明，人的大脑使用多种感觉，以获取比较材料及其品质所需的信息。在表面感知的情况下，人大脑主要使用触觉，光学和听觉感觉方式。先前的研究通常仅根据触觉模型来描述人类的材料感知。迄今为止，在研究中仅受到偶尔的关注，这些模型也包含了人类的视觉和听觉感知。为了对人类多感觉感知和刺激处理进行更精确的建模，必须将多模式感觉印象与多传感器系统的数据结合在一起。结果，这表明了多感觉的研究差距（视觉，声学，自觉）如何在系统上具有质量值和质量的质量质量的质量上的多感（视觉，声学，自由状态）的差距。为了实现预期的研究目标，一方面进行了感觉人类研究以记录多模式感知的等效性。对于表面材料的客观描述，实施了各种描述符，这些描述是针对产品特征的国际适用描述。另一方面，通过触觉，光学和声学传感器来表征和测试表面材料的测量系统。传感器数据融合的原理代表了一种与人类刺激吸收相比，将几个技术传感器组合起来的潜在方法。为了说明替代聚合物的质量，该研究项目的重点是传统聚合物具有可能可回收或可生物降解的聚合物的等效性。