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About

Bernd Hader is a leading researcher in the field of human-robot collaboration, with a specific focus on industrial assembly systems. His work centers on the critical challenge of task allocation between human workers and collaborative robots (cobots), aiming to create flexible, efficient, and worker-friendly manufacturing environments. Hader’s major contributions include empirically grounded studies on workers’ preferences in human-robot task assignment, providing vital insights into how cobots can relieve humans from monotonous tasks while boosting productivity. His development of a digital worker assistance system for adaptive task sharing represents a significant step toward realizing the full potential of cobots in industrial practice. With his most-cited paper, "An Empirical Study on Workers' Preferences in Human–Robot Task Assignment in Industrial Assembly Systems," accumulating 44 citations, Hader’s research is shaping the future of human-centered automation. He has also pioneered efforts to democratize cobot technology through interactive workshops in learning factories, making advanced robotics accessible to a broader audience. Hader’s work is essential reading for anyone interested in the practical, human-centric integration of robotics in manufacturing.