Michael Kleinkes

University of Applied Sciences for Public Administration and Management

Papers

Total Citations

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About

Michael Kleinkes is a researcher whose work lies at the critical intersection of industrial robotics, automation, and precision metrology. His primary research focus is on enhancing the accuracy and efficiency of automated manufacturing processes, with a particular emphasis on real-time robot positioning and measurement feedback control. Kleinkes’s most notable contribution is the development of a real-time robot positioning system based on measurement feedback control (2015), a work that has garnered 4 citations for its practical approach to improving robotic precision in industrial settings. He has also advanced the field through the design of a 6DoF laser measurement system aimed at optimizing automation processes for challenging materials like carbon fiber (CFK), demonstrating his ability to address modern manufacturing challenges. Furthermore, his earlier work on automated accuracy checks for industrial robots (2006) laid the groundwork for reliable offline programming and image-processing applications. Through these contributions, Kleinkes has provided essential tools for quality assurance and process optimization, making his research valuable for engineers and researchers seeking to push the boundaries of robotic automation and measurement technology.