Implementation Concept for Optimization Methods in Human-Robot Collaboration by using Full-Scope Simulation

Abstract: Human-robot collaboration (HRC) is an emerging field that is revolutionizing efficiency and performance in production environments. A central point here is the integration of proven methods of process and quality management, which create the basis for optimized collaboration between humans and robots.In order to fully exploit the potential of this collaboration, established methods such as lean management, Six Sigma and PDCA cycle are being closely examined for their applicability in the context of HRC. These methods have already proven themselves in traditional production environments and could now form the basis for effective human-robot interaction.A fundamental aspect for the successful implementation of these methods is the creation of a realistic test environment. The full-scope simulator plays a crucial role here, as it provides an authentic environment for the research and development of human-robot collaboration. Numerous research projects have already benefited from the use of this simulator and have been able to gain new insights for HRC. A particular focus is on the development of a specific use case based on existing HRC systems in industry. This use case serves as a starting point for the further development and improvement of the interaction between humans and robots using process and quality management methods. The implementation and analysis of various methods in the context of this use case aims to increase performance and efficiency in production and assembly environments. A key objective here is to minimize production downtime and increase overall productivity at the same time.After thorough testing, the paper presents a comprehensive overview of the methods identified as particularly useful for improving the effectiveness of human-robot collaboration. This research contributes significantly to structuring the possibilities of HRC in production and assembly environments and provides a detailed list of methods specifically aimed at optimizing processes in these areas.The integration of process and quality management methods into HRC offers numerous advantages. For example, lean management enables the reduction of waste and efficiency production, while Six Sigma aims to minimize errors and improve process quality. The PDCA cycle supports continuous improvement. By specifically applying and adapting these methods to HRC, a more harmonious and effective collaboration between humans and robots can be achieved.The further exploration and integration of process and quality management methods into HRC not only promises increased productivity and efficiency, but also helps to improve the safety, reliability and quality of human-robot collaboration. The development and refinement of these methods in the context of HRC is therefore becoming an increasingly important facet of the modern production landscape.

Keywords: Human-Robot Collaboration, Process, and Qualitymanagement, Full-Scope Simulation

DOI: 10.54941/ahfe1005018

Cite this paper:

​