N. Spielbauer

FZI Research Center for Information Technology

Papers

Total Citations

H-Index

About

N. Spielbauer is a researcher advancing the frontiers of intelligent manufacturing and autonomous robotics. Their work centers on two key areas: real-time error detection in additive manufacturing and distributed machine learning for robotic perception. In a pivotal 2020 study, Spielbauer developed a method for in-situ process error detection in Fused Deposition Modeling (FDM) 3D-printers, addressing a critical economic need as the technology becomes more widespread. This work, with 9 citations, provides a foundation for improving print quality and reducing waste in industrial settings. More recently, Spielbauer tackled the challenge of robotic environmental awareness in a 2021 paper (6 citations) on distributed active learning for semantic segmentation on walking robots. By enabling robots to quickly adapt to unknown environments through pixelwise image understanding, this contribution enhances autonomous navigation and self-awareness. Together, these achievements demonstrate Spielbauer’s impact on both the practical reliability of additive manufacturing and the cognitive capabilities of mobile robots, offering valuable insights for students and researchers in robotics, computer vision, and production engineering.