Michael Gerke
Papers
4
Total Citations
45
H-Index
3
About
Michael Gerke’s research career bridges the early frontiers of mobile robotics with the contemporary challenges of industrial digitalization. His foundational work in the early 2000s focused on autonomous navigation, where he pioneered genetic algorithm-based path planning for mobile robots, notably developing an active search algorithm and strategies to minimize energy consumption—critical contributions to the efficiency of autonomous systems. Later, he ventured into aerial robotics, co-authoring a 2007 study on the modeling, sensorics, and control of a robotic airship, a small autonomous blimp designed for surveillance and surface monitoring, demonstrating innovative system integration. However, Gerke’s most impactful work arrived in 2018 with his review on smart automation as an enabler of digitalization, which critically examined the potential and barriers of Robotic Process Automation (RPA) and artificial intelligence. Garnering 29 citations, this paper has become a key reference for understanding how organizations can harness automation for digital transformation. While his earlier robotics research laid technical groundwork, his later synthesis of automation’s societal and industrial implications marks his most cited achievement, reflecting a career that evolved from engineering autonomous machines to shaping the discourse on their strategic adoption.
Research Focus
Key Achievements
Top Papers
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- 4Modeling, sensorics and control of a robotic airship3 citations · 2007