About

Gunther Notni is a leading researcher in optical 3D measurement, robotic perception, and intelligent manufacturing. His work centers on developing advanced sensor systems and algorithms for real-time 3D reconstruction, human-robot interaction, and automated quality inspection. Notni’s major contributions include pioneering deep learning approaches for detecting weld seam discontinuities in laser beam butt welding (18 citations), and creating multimodal imaging systems that fuse RGB, thermal, and 3D point cloud data for safe robotic object handover (16 citations). He developed the BICOS algorithm for fast correspondence search in statistical pattern projection-based active stereo sensors (12 citations), enabling real-time 3D scanning for automation tasks. His research on multi-view planning for simultaneous coverage and accuracy optimization (12 citations) has advanced autonomous 3D reconstruction. Notni has also introduced interactive robot teaching methods using finger trajectory analysis with multimodal RGB-D-T data, and the Triangle-Mesh-Rasterization-Projection algorithm for consistent 2D raster image generation from point clouds. His work on the OHO multimodal dataset supports safe human-robot object handover. With over 90 citations across his top papers, Notni’s innovations are driving the next generation of intelligent, sensor-rich manufacturing systems.

Research Focus

Key Achievements

7
H-Index
12
Papers
97
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Automatic detection and prediction of discontinuities in laser beam butt welding utilizing deep learning
18 citations · 2022
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Technische Universität Ilmenau, Fraunhofer Society, Fraunhofer Institute for Applied Optics and Precision Engineering

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago