Bridging the Gap: Barriers to and Requirements for Human-Robot Knowledge Transfer
- Publication Type:
- Conference Proceeding
- Citation:
- 2024
- Issue Date:
- 2024-12-09
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| CIE51 conference - MUNIA AHAMED.pdf | Published version | 426.11 kB |
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This article focuses on the need for efficient information exchange between humans and collaborative robots (cobots) in advanced manufacturing by investigating the barriers to and requirements for effective knowledge transfer. Industry 4.0-based manufacturing systems heavily rely on the collaboration between humans and robots to improve safety, productivity, and adaptability. On the other hand, insufficient communication within the existing HRC systems results in a lack of trust and decreased effectiveness. The study combines a literature search, qualitative analysis of interviews and a design research methodology (DRM) to synthesize findings. The study integrates human expertise with cobot capabilities and examines the primary obstacles to knowledge transfer within Industry 4.0 frameworks. The literature gap is thoroughly examined by incorporating real industry settings and expert opinions while considering HRC's technical and interpersonal aspects. Focusing on the list of barriers like technological incompatibility, proper communication, and lack of human-centred design and requirements seeks to improve the smooth exchange of knowledge and skills between individuals and cobots, ensuring efficient collaboration. Therefore, it is essential to integrate a socio-technical system theory and resource-based view to handle the complex interaction between humans and robots in a collaborative environment. The study's findings highlight the significance of considering both technological and human-centered factors to promote seamless interactions and knowledge sharing, which require ongoing monitoring and feedback to improve teamwork. In conclusion, the study highlights the significance of efficient knowledge transfer in improving the manufacturing industry's efficiency, competitiveness, and innovation. This study builds the foundation for developing targeted interventions to overcome collaborative barriers in Industry 4.0 settings, thus advancing both a methodical approach and practical implementation to address the difficulties of knowledge transfer between humans and robots in industrial settings.
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