Juergen Mangler

Technical University of Munich, University of Vienna

Papers

Total Citations

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About

Juergen Mangler is a researcher at the intersection of process automation, process mining, and intelligent manufacturing systems. His work focuses on bridging the gap between physical production environments and digital process orchestration, with a particular emphasis on human-robot collaboration and smart factory technologies. Mangler's most influential contribution, "Interactive Process Automation based on lightweight object detection in manufacturing processes" (2021, 26 citations), pioneers the use of object detection to support human-cobot interaction in scenarios such as picking and placing tasks, where communication between human workers and collaborative robots is inherently ambiguous. Complementing this, his work on "Process Automation and Process Mining in Manufacturing" (2021, 23 citations) demonstrates how process intelligence techniques can be applied directly to production environments to improve efficiency and transparency. His earlier research on conformance checking and classification of manufacturing log data (2019, 12 citations) addressed a critical gap between shop-floor data collection and manufacturing orchestration software. More recently, Mangler has extended his scope to human-machine interaction safety, exploring cognition-aware systems that allow flexible, adaptive safety protocols in industrial settings. Collectively, his research offers meaningful contributions toward smarter, safer, and more sustainable manufacturing processes.