Papers

2

Total Citations

9

H-Index

2

About

Jonas Friesslich is a researcher advancing the frontier of mobile robotics, with a focused expertise in sensor fusion, localization, and autonomous navigation in complex environments. His work is particularly distinguished by its practical, systems-level approach to integrating multiple sensing modalities—including RGB-D cameras, wheel odometry, and inertial measurement units (IMUs)—to achieve robust robot positioning. Friesslich’s most-cited paper, a comprehensive survey and experimental comparison of ROS-based RGB-D indoor navigation methods, provides a critical, hands-on evaluation of existing techniques while demonstrating how sensor fusion can dramatically improve reliability. This work has garnered 7 citations, establishing a foundation for applied robotics research. Building on this, his subsequent benchmark study targets the demanding conditions of industrial settings, where lighting, texture, and structural challenges often defeat standard algorithms. By creating a rigorous evaluation framework for multi-sensor localization systems, Friesslich directly addresses the gap between laboratory performance and real-world industrial deployment. His contributions are essential reading for engineers and researchers seeking to build resilient, production-ready mobile robots capable of operating with high precision in the most unforgiving environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Survey and Experimental Comparison of RGB-D Indoor Robot Navigation Methods Supported by ROS and Their Expansion via Fusion with Wheel Odometry and IMU Data
7 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Technical University of Applied Sciences Würzburg-Schweinfurt

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago