Functional Feasibility Study of the Design of a Carpet-Weaving Robot for Producing Handmade-Like Carpets Using Artificial Intelligence

This research was conducted with the aim of functionally assessing the feasibility of designing a carpet-weaving robot for producing handmade-like carpets using artificial intelligence. The main problem is whether a robotic system can functionally perform the primary tasks required in the carpet weaving process in such a way that accuracy, repeatability, process control, and conformity with the design and weave structure are ensured at an acceptable level. The significance of the subject arises from the fact that handmade carpets, despite their high cultural, artistic, and economic value, face limitations such as being labor-intensive, time-consuming production, and dependence on skilled human labor, while conventional machine-made carpets encounter limitations in fully reproducing visual and structural characteristics close to handmade ones. This research is descriptive-analytical in nature and employs a functional feasibility approach based on a conceptual review of scientific sources. Data were collected through the study and analysis of books, articles, and specialized sources in the fields of robotics, artificial intelligence, intelligent manufacturing, control systems, and textile technology. Findings indicate that the functional feasibility of a carpet-weaving robot can be examined across five main dimensions: execution accuracy, repeatability and uniformity, process controllability, interaction with textile materials, and intelligent support in monitoring and optimization. Based on the reviewed sources, execution accuracy and repeatability were assessed as feasible at the general level; process controllability and intelligent support were assessed as conditionally feasible; and interaction with soft materials such as yarn and flexible textile structures, identified as the most difficult dimension of the problem, was determined to require further development. Results also showed that existing technologies in robotics and mechatronics provide the necessary foundation for performing part of the weaving operations; sensor-based control systems can contribute to improved monitoring and performance stability; and artificial intelligence can be utilized in areas such as fault detection, pattern analysis, and process optimization. However, the full functional realization of such a system depends on addressing significant challenges in material handling, adaptive control, and the conversion of carpet design into stable weaving performance. In conclusion, the present research demonstrates that the design of a carpet-weaving robot for producing handmade-like carpets is functionally feasible at the general level, but its effective implementation is conditional on overcoming several key challenges in the areas of operations, control, and material interaction. Accordingly, it is suggested that future research focus on modeling weaving functions, developing small-scale laboratory prototypes, and formulating precise functional indicators for evaluating the quality and efficiency of the final product.KeywordsFunctional feasibility, Carpet-weaving robot, Handmade-like carpet, Artificial intelligence, Robotics, Intelligent manufacturing, Process control, Repeatability, Execution accuracy