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A Modular Digital Twinning Framework for Safety Assurance of Collaborative Robotics
2021
Frontiers in Robotics and AI
Digital twins offer a unique opportunity to design, test, deploy, monitor, and control real-world robotic processes. In this paper we present a novel, modular digital twinning framework developed for the investigation of safety within collaborative robotic manufacturing processes. The modular architecture supports scalable representations of user-defined cyber-physical environments, and tools for safety analysis and control. This versatile research tool facilitates the creation of mixed
doi:10.3389/frobt.2021.758099
pmid:34977162
pmcid:PMC8719333
fatcat:2mynwch3evhsneupyh54dtetsi