In an era where robotic automation is pivotal to global production systems, the adaptability of robots in varying environmental and cultural contexts is increasingly relevant. This paper explores the role of cultural differences and environmental stress in learning factories (LFs). Such factors are crucial as LFs are implemented worldwide, and education should be seamlessly integrated into diverse environments. We investigate how environmental stress impacts the performance and behaviour of humans operating technical systems as a real-world challenge. Our research is framed within the broader context of worldwide LFs. For this purpose, this paper presents an experiment, initial findings, and insights into how these factors can influence the development of robust, adaptive LFs globally. Additionally, the study highlights how these insights contribute to the design of future research and transfer programs, bridging the gap between academic research and practical application in industrial environments. Furthermore, the experiment was designed as a classroom experiment for a group of undergraduate students in the field of automation technology introducing them to research methods and technology.

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Robotic Systems for Worldwide Learning Factories Human-Robot Collaboration and Environmental Stressors

  • Bastian Prell,
  • Norman Günther,
  • Simon Wilbers,
  • Kerstin Böhm,
  • Heiner Reinhardt,
  • Jörg Reiff-Stephan

摘要

In an era where robotic automation is pivotal to global production systems, the adaptability of robots in varying environmental and cultural contexts is increasingly relevant. This paper explores the role of cultural differences and environmental stress in learning factories (LFs). Such factors are crucial as LFs are implemented worldwide, and education should be seamlessly integrated into diverse environments. We investigate how environmental stress impacts the performance and behaviour of humans operating technical systems as a real-world challenge. Our research is framed within the broader context of worldwide LFs. For this purpose, this paper presents an experiment, initial findings, and insights into how these factors can influence the development of robust, adaptive LFs globally. Additionally, the study highlights how these insights contribute to the design of future research and transfer programs, bridging the gap between academic research and practical application in industrial environments. Furthermore, the experiment was designed as a classroom experiment for a group of undergraduate students in the field of automation technology introducing them to research methods and technology.