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РецензированоEN2026

ENHANCING THE PERFORMANCE OF COLLABORATIVE ROBOT ASSEMBLY SYSTEMS THROUGH STANDARDIZATION AND COMPLEXITY MODELING

COMPLEXITY MODELING · Normatov Islomiy

Современные подходы и новые исследования в современной науке · 5 · 26-29 · 2026

Аннотация

This paper presents an approach to improving the performance of collaborative robot (cobot) assembly systems by integrating international standards and complexity analysis methodologies. Using a UR5 collaborative robot equipped with object detection cameras, experimental tasks involving the assembly of modular components were evaluated under varying complexity scenarios. The Lucas method was used to quantify product and process complexity through C1 (component complexity), C2 (assembly connection complexity), and C3 (topological complexity). The study explores how standardization—through ISO 9001, ISO 10218-1/2, and ISO/TS 15066—can enhance safety, quality, and performance consistency in human–robot collaborative environments. The results support the use of standardization as a critical factor in optimizing assembly systems aligned with Industry 4.0 principles. Keywords: Collaborative Robots, ISO Standards, Human–Robot Collaboration, Lucas Method, Complexity Modeling, Performance Systems, Object Detection

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«This paper presents an approach to improving the performance of collaborative robot (cobot) assembly systems by integrating international standards and complexity analysis methodologies.»

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This paper presents an approach to improving the performance of collaborative robot (cobot) assembly systems by integrating international standards and complexity analysis methodologies. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Collaborative Robots, ISO Standards, Human–Robot, Performance Systems, Human–Robot Collaboration, Object Detection, Complexity Modeling, Lucas Method
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