Rapid and automated configuration of robot manufacturing cells

Citation

Asif S, Bueno M, Ferreira P, et al., (2025) Rapid and automated configuration of robot manufacturing cells. Robotics and Computer-Integrated Manufacturing, Volume 92, April 2025, Article number 102862

Abstract

This study presents the Reconfigurable and Responsive Robot Manufacturing (R3M) architecture, a novel framework engineered to autonomously adapt to fluctuating product variants and demands within manufacturing environments. At the heart of R3M lies an integrated architecture that ensures a seamless data flow between critical modules, facilitated by an advanced communication platform. These modules are central to delivering a range of services crucial for operational efficiency. Key to the architecture is the incorporation of Automated Risk Assessment aligned with ISO-12100 standards, utilizing ROS2 Gazebo for the dynamic modification of robot skills in a plug-and-produce manner. The architecture's unique approach to requirements definition employs AutomationML (AML), enabling effective system integration and the consolidation of varied information sources. This is achieved through the innovative use of skill-based concepts and AML Class Libraries, enhancing the system's adaptability and integration within manufacturing settings. The narrative delves into the intricate descriptions of products, equipment, and processes within the AML framework, highlighting the strategic consideration of profitability in the product domain and distinguishing between atomic and composite skills in equipment characterization. The process domain serves as an invaluable knowledge repository, bridging the gap between high-level product demands and specific equipment capabilities via process patterns. The culmination of these elements within the R3M framework provides a versatile and scalable solution poised to revolutionize manufacturing processes. Empirical results underscore the architecture's robust perception abilities, with a particular focus on a real-world application in robotic lamination stacking, elucidating both the inherent challenges and the tangible outcomes of the R3M deployment.

Description

Software Description

Software Language

Github

Keywords

Reconfigurable manufacturing, Modular robotics, Common communication platform, Autonomous systems, Robot perception, Autonomous program generation, Reconfigurable architecture, Manufacturing automation, 46 Information and Computing Sciences, 4014 Manufacturing Engineering, 40 Engineering, Bioengineering, 9 Industry, Innovation and Infrastructure, Industrial Engineering & Automation, 40 Engineering, 46 Information and computing sciences

DOI

Rights

Attribution 4.0 International

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Relationships

Resources

Funder/s

Engineering and Physical Sciences Research Council
This research is supported by EPSRC grant (EP/V051180/1) for the Reconfigurable Robotics for Responsive Manufacture - R3M.