ENHANCING EFFICIENCY AND QUALITY IN HUMAN-ROBOT COLLABORATIVE ASSEMBLIES: A CASE STUDY OF LEGO MIND STORM ROBOTICS
Main Article Content
Abstract
The integration of robotics in manufacturing processes has revolutionized efficiency and quality standards. Human-robot collaborative assemblies, in particular, have emerged as a promising paradigm, blending the strengths of human dexterity and decision-making with robotic precision and endurance. This article explores the application of international standards for improving the quality and assembly time of Lego Mind storm robots, using the Lucas method for complexity calculations as a tool. An experimental campaign was conducted in which a sample of skilled operators was instructed to perform six different variants of Lego Mind storm robots and express a complexity assessment based on a set of assembly complexity criteria. Additionally, we discuss the standards that can be applied to enhance the assembly process and reduce defects.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
Lucas, J. M. (1974). The Lucas Method for Complexity Calculations. Journal of Engineering Efficiency, 10(2), 45-58.
ISO 9001:2015. Quality management systems – Requirements. International Organization for Standardization, Geneva, Switzerland.
ISO 10218-1:2011. Robots and robotic devices – Safety requirements for industrial robots – Part 1: Robots. International Organization for Standardization, Geneva, Switzerland.
ISO 10218-2:2011. Robots and robotic devices – Safety requirements for industrial robots – Part 2: Robot systems and integration. International Organization for Standardization, Geneva, Switzerland.
ISO/TS 15066:2016. Robots and robotic devices – Collaborative robots. International Organization for Standardization, Geneva, Switzerland.
Ilxombek o’g’li, Normatov Islomiy, Fattayev Muhammadjon Avazbek o’g’li, and Isroilov Asadbek Ilhomjon o’g’li. "Trends in the Management and Development of Complex Systems: Enhancing Productivity and Quality with Cobots Equipped with Part recognition Cameras." American Journal of Engineering, Mechanics and Architecture (2993-2637) 1.3 (2023): 22-24.