Tom Vaneker
Papers
6
Total Citations
57
H-Index
4
About
Tom Vaneker’s research focuses on advancing flexible and intelligent automation for small and medium-sized enterprises (SMEs), with key contributions in decentralized modular production architectures, data distribution service (DDS) systems, and robot work preparation. His most-cited work (21 citations) proposes a modular architecture that enables SMEs to respond quickly and cost-efficiently to shrinking batch sizes and frequent changeovers, directly addressing the shift from mass production to mass personalization. Vaneker also pioneered the evaluation of DDS-based communication systems for dynamic manufacturing environments, demonstrating how these systems maintain performance when participants are added or removed—a critical capability for agile factories. His involvement in the large-scale SInBot project (10+ partners) led to concepts for improving robot work preparation efficiency during medium-sized production runs, validated through real-world case studies like dump truck manufacturing. More recently, he has developed a structured decision-making framework for automating cognitively demanding tasks, pushing toward smarter, human-robot collaborative systems. With a career spanning over a decade, Vaneker’s work has earned recognition for its practical impact on industrial automation, particularly in helping European SMEs adopt robotics and flexible systems to remain competitive in rapidly changing markets.
Research Focus
Key Achievements
Top Papers
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- 3Developing Concepts for Improved Efficiency of Robot Work Preparation10 citations · 2013
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