Frank Ortmeier
Otto-von-Guericke University Magdeburg, University of Augsburg
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
Top Papers
- 1Robotic Task Sequencing Problem: A Survey126 citations · 2015
- 2Formal Modeling and Verification of Systems with Self-x Properties37 citations · 2006
- 3Beyond Software Product Lines35 citations · 2017
- 4On optimizing a sequence of robotic tasks29 citations · 2013
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- 8Robot Trajectory Optimization for the Relaxed End-effector Path11 citations · 2014
- 9Improving the sequence of robotic tasks with freedom of execution11 citations · 2014
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