## 1 Introduction
Additionally, there are special approaches geared towards innovative systems like CIM, flexible production, robotic production, and customer-oriented production, just to name a few, that are currently being developed. Modern methodological aspects of design show the most progress from a computer support standpoint. One such approach, CIM-OSA, can be considered a reformation tactic for scientific design methods [19]. Another area of development in engineering design is the integration of knowledge engineering. In the United States, companies like Intel Corporation, Technowlidge, and Inference Corp. are utilizing these new technologies in commercial practice. Expert systems represent knowledge engineering and differ from classic program systems in multiple ways [20]. The effort to generalize partial design methodologies and connect them to computer support is reflected in the design theory. However, the object and functions of design theory are not completely unified in the professional literature. Some authors consider design as an integral part of the overall system, while others prefer the concept of design philosophy or methodology [21]. Ultimately, five basic schools of design methodology development can be defined, including semantic, syntactic, historical, psychological, and philosophical schools. Inspections in the mechanical and aviation fields have seen a transformative shift with the integration of robotic sensors. These sensors, equipped with advanced technologies such as LiDAR, ultrasonic sensors, and thermal imaging, play a crucial role in enhancing inspection processes. In the aviation sector, for instance, robotic sensors are increasingly employed for Non-Destructive Testing (NDT) of aircraft components. This includes the inspection of critical structures and components for potential defects or wear [22]. The use of robotic sensors not only improves the efficiency of inspections but also enhances safety by minimizing human involvement in high-risk areas. In the broader mechanical field, industries are adopting robotic inspection systems for quality control, preventive maintenance, and monitoring of complex machinery. The data collected by these sensors facilitate predictive maintenance, reducing downtime and overall operational costs. As technology continues to advance, the integration of robotic sensors in inspections is expected to become even more sophisticated, contributing to improved reliability and safety across various industrial sectors. The significance of data acquired by robotic sensors in the context of inspections in the mechanical and aviation fields cannot be overstated, particularly in the realm of predictive maintenance. The real-time information collected by these sensors enables the identification of potential issues before they escalate into critical failures. In aviation, for example, continuous monitoring through sensors allows for the early detection of structural weaknesses or anomalies in aircraft components, contributing to proactive maintenance strategies. Similarly, in mechanical systems, the data acquired from robotic sensors are instrumental in predicting equipment failure and scheduling maintenance interventions. This predictive approach not only minimizes the risk of unexpected breakdowns but also optimizes resource utilization and prolongs the lifespan of machinery. The ability to harness and analyze data from these sensors is a milestone of modern maintenance practices, fostering a more efficient and cost-effective operational environment [23]. In the majority of the presented methodologies, design is approached with significant computer support, and the use of computers is prevalent. While computer presentation may not be utilized in all stages of the designing process, it is not excluded either. The objective is to create \"intelligent computer systems for designing\". Simultaneous engineering is considered a crucial technique for innovation preparation in design, allowing for a radical reduction in development and implementation time.