D. Kugelmann

Technical University of Munich, Fraunhofer Institute for Machine Tools and Forming Technology

Papers

Total Citations

H-Index

About

D. Kugelmann is a researcher in industrial robotics and production engineering, with a focus on autonomous handling systems and 3D simulation for manufacturing. Their major contributions center on developing sensor-based robotic systems that can adapt to unexpected environmental changes, addressing a key limitation in industrial automation. Kugelmann’s most cited work, "Autonomous robotic handling applying sensor systems and 3D simulation" (2002, 12 citations), presents a system created at the IWB in Germany that integrates sensor feedback with simulation to improve the flexibility and reliability of robotic handling programs. This work highlights the challenge of object location uncertainty in automated processes. Additionally, Kugelmann contributed to "USIS—an integrated 3D-tool for planning production cells" (2002, 2 citations), which supports complex production cell design by enabling engineers to visualize and optimize conflicting objectives through 3D simulation. While citation counts are modest, Kugelmann’s research is notable for its practical approach to bridging simulation and real-world robotics, offering tools that enhance planning efficiency and robotic autonomy in manufacturing environments. Their work remains relevant for researchers exploring sensor-guided automation and digital twin applications in industry.