Augmented Reality for Human Decision Making and Human-Robot Collaboration: A Case Study in A Gasket Room in Manufacturing
Keywords: augmented reality, human decision making, human-robot collaboration
Abstract: Human-Robot Collaboration (HRC) in manufacturing requires a balance between physical task execution and cognitive decision making. This study investigates the integration of Augmented Reality (AR) and robotics to enhance task performance in a real manufacturing setting. The research focuses on a gasket room, a critical part of the enclosure production process responsible for sealing enclosures. Initial observations identified a complex 24-step workflow involving physically demanding tasks, such as panel transportation and alignment, and cognitively demanding tasks including decision making. To enhance efficiency and quality, robots will be employed to handle repetitive and physically demanding processes, while humans will focus on the cognitively demanding process. AR will be used to design an HRC system where robots collaborate with humans in a real workspace, while AR will also be used to assist human decision making by providing real-time guidance. The proposed AR-based HRC system will be evaluated through user testing, measuring improvements in efficiency, accuracy, and cognitive workload. Despite the study’s limitation of a small participant pool, future work will expand testing to a broader user group and explore scalability across different industrial settings.
Submission Number: 10
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