Carsten Glasenapp

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About

Carsten Glasenapp is a robotics researcher whose work bridges the gap between industrial automation and autonomous systems. His primary research focus lies in mobile robotics for quality assurance, particularly in the automotive manufacturing sector. Glasenapp’s most significant contribution is the design, implementation, and testing of an autonomous mobile robot capable of measuring flush and gap in car bodies without human intervention. This system requires only minimal input—target object selection, a measurement plan, and a coarse map location—to operate with full autonomy, demonstrating a practical leap toward flexible, self-sufficient inspection in production lines. While his work has garnered early citations, its true impact lies in its potential to reduce downtime and human error in high-precision manufacturing environments. By integrating navigation, perception, and metrology into a single robotic platform, Glasenapp has advanced the state of the art in industrial quality control. His research is particularly relevant for students and engineers interested in applied robotics, computer vision, and the future of smart factories.