Patrick Murmann
Papers
1
Total Citations
38
H-Index
1
About
Patrick Murmann is a researcher in robotics and autonomous systems, with a primary focus on perception, simultaneous localization and mapping (SLAM), and sensor data processing. His most-cited work, "Identification of transparent and specular reflective material in laser scans to discriminate affected measurements for faultless robotic SLAM" (2016, 38 citations), addresses a critical challenge in robotic navigation: the failure of laser-based sensors when encountering glass or shiny surfaces. By developing methods to detect and filter these problematic measurements, Murmann has contributed to more robust and reliable SLAM in real-world environments, where such materials are common. This work is particularly valuable for applications in indoor robotics, autonomous vehicles, and industrial inspection. While his citation count reflects a focused, early-career impact, his research demonstrates a keen understanding of practical sensor limitations and the importance of data quality in autonomous systems. Murmann’s contributions help bridge the gap between theoretical SLAM algorithms and their deployment in complex, cluttered spaces, making his work a useful reference for engineers and researchers tackling similar perception challenges.
Research Focus
Key Achievements
Top Papers
- 1