20.500.12556/DKUM-92281 The influence of human age on order picking performance with collaborative robots Experimental Insights This study investigates the impact of integrating autonomous mobile robots (AMRs) into order picking, with a particular focus on how age influence human performance. Our research employs a multimethod approach, combining descriptive statistics, ANOVA, and post-experiment survey data analysis to evaluate the effects of AMR-assisted picking compared to manual cart picking. The results demonstrate that AMRs significantly reduce order-picking times (OPTs) and variability in performance across both age groups, with the older group showing an OPT improvement of 23.68%, and the younger group 29.40%. The ANOVA revealed that age significantly influenced OPTs. Additionally, the survey data indicated that participants perceived AMRs as simple to use and collaborative, with a strong positive correlation between AMR positioning and collaboration experience. These findings highlight the benefits of AMRs in enhancing efficiency and consistency in warehouse operations. The study underscores the importance of considering human factors in the design and implementation of robotic systems, paving the way for a human-centric Industry 5.0. Future research should attempt to achieve empirical data from real industrial operations, with the focus on larger sample sizes and the long-term effects of AMR integration on job satisfaction and overall performance. order picking aging autonomous mobile robots experimental study komisioniranje staranje avtonomni mobilni roboti eksperimentalna študija true false true Elsevier Angleški jezik Slovenski jezik Znanstveno delo 2025-03-27 08:41:05 2025-03-27 09:42:50 2025-04-03 07:55:11 0000-00-00 00:00:00 2025 0 0 Str. 902-911 Letn. 253 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2025-02-25 659 198076931 229017859 10.1016/j.procs.2025.01.152 1877-0509 Ranasinghe_2025_The_influence_of_human_age.pdf Ranasinghe_2025_The_influence_of_human_age.pdf 1 36E4B45A8620423FA43915170EAAD5B6 d30dbac52e9bd34e0f5a7e7e46ded2919890df15fb733615bbd205a8d95980a2 f5e3b6c5-0ba5-11f0-af5a-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=189762 https://doi.org/10.1016/j.procs.2025.01.152 0 206d4a71-0ae7-11f0-8bc4-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=189712 Fakulteta za logistiko 0 0 0