Daniel Losch
Papers
7
Total Citations
86
H-Index
5
About
Daniel Losch is a pioneering researcher at the intersection of digital manufacturing, robotics, and cyber-physical systems. His work centers on developing intuitive frameworks for Industry 4.0, with key contributions in digital twin navigation, visual programming for robotics, and reconfigurable assembly cells. His most influential work, "A navigation framework for digital twins of factories based on building information modeling" (40 citations), established foundational methods for optimizing movement paths in virtual factory simulations. Losch's visual programming framework for micro-optical assembly (16 citations) revolutionized how complex robotic systems are programmed, making automation accessible to non-experts. As a key contributor to the Horizon 2020 "ReconCell" project, he developed interactive calibration methods and 3D simulation-based interfaces that enable small and medium enterprises to adopt flexible, reconfigurable robotic workcells. His innovative use of hierarchical Petri nets for visual programming of manufacturing processes demonstrates his commitment to bridging the gap between theoretical modeling and practical industrial application. Through his eRobotics approach, Losch has advanced the integration of building information modeling with simulation, rendering, and virtual reality, creating powerful testbeds for smart manufacturing. His work continues to shape how factories are designed, simulated, and operated in the digital age.
Research Focus
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Top Papers
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