Papers

12

Total Citations

332

H-Index

9

About

Frank Ortmeier is a computer scientist whose research spans industrial robotics, formal verification, and cyber-physical systems, with particular strength in bridging theoretical optimization with real-world automation challenges. He is perhaps best known for his comprehensive 2015 survey on the Robotic Task Sequencing Problem, which has accumulated 126 citations and stands as a foundational reference for researchers tackling sequencing and scheduling in industrial robot workflows. His work on optimizing robotic task sequences — including contributions to Traveling Salesman Problem variants and trajectory optimization — has meaningfully advanced production speed and energy efficiency in manufacturing environments. Ortmeier has also made notable contributions to robot software development, advocating for higher-level, domain-centric programming paradigms that reduce the complexity and cost of deploying industrial robots. His 2006 work on formal modeling and verification of self-adaptive systems reflects a sustained interest in rigorous, safety-conscious approaches to autonomous systems. More recently, his research has expanded into cyber-physical systems and smart IT infrastructures, as evidenced by his 2017 work on software product lines for CPSs. Across his career, Ortmeier's publications demonstrate a consistent commitment to making intelligent automation systems more efficient, reliable, and accessible.

Research Focus

Key Achievements

9
H-Index
12
Papers
332
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Task Sequencing Problem: A Survey
126 citations · 2015
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Otto-von-Guericke University Magdeburg, University of Augsburg

Top Papers

  1. 1
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  3. 3
    Beyond Software Product Lines
    35 citations · 2017
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Key Collaborators

Contact & Links

Available for collaboration
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