Abstract
The digital twin is a powerful concept and is seen as a key enabler for realizing the full potential of Cyber-Physical Production Systems within Industry 4.0. Industry 4.0 will strive to address various production challenges among which is mass customization, where flexibility in manufacturing processes will be critical. Human-robot collaboration – especially through the use of collaborative robots – will be key in achieving the required flexibility, while maintaining high production throughput and quality. This paper proposes an aggregated digital twin solution for a collaborative work cell which employs a collaborative robot and human workers. The architecture provides mechanisms to encapsulate and aggregate data and functionality in a manner that reflects reality, thereby enabling the intelligent, adaptive control of a collaborative robot.
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Joseph, A.J., Kruger, K., Basson, A.H. (2021). An Aggregated Digital Twin Solution for Human-Robot Collaboration in Industry 4.0 Environments. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Lamouri, S. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2020. Studies in Computational Intelligence, vol 952. Springer, Cham. https://doi.org/10.1007/978-3-030-69373-2_9
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DOI: https://doi.org/10.1007/978-3-030-69373-2_9
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