Mathias Huesing

Institute of Automation, RWTH Aachen University

Papers

4

Total Citations

26

H-Index

3

About

Mathias Huesing is a robotics researcher at RWTH Aachen University’s Institute of Mechanism Theory, Machine Dynamics and Robotics (IGMR), whose work focuses on autonomous navigation in extreme environments and the design of high-performance robotic systems. His most significant contributions center on enabling robotic localization in low-visibility conditions, particularly through the development of radar-based SLAM (Simultaneous Localization and Mapping) for the EU-funded Bots2ReC project. This pioneering work, detailed in his most-cited paper "Radar SLAM for Autonomous Indoor Grinding" (14 citations), addresses the critical challenge of autonomous asbestos removal—a hazardous task where dust severely impairs conventional sensors. Huesing has also advanced interactive mechanism design through a Model-View-Controller software approach, and explored trajectory planning and active dynamic balancing for parallel robots in high-speed packaging applications. His research bridges fundamental robotics challenges with real-world industrial needs, from hazardous material remediation to precision manufacturing. With a growing citation record and publications spanning 2019-2025, Huesing represents a new generation of engineers tackling the intersection of perception, control, and mechanism design for autonomous systems operating under extreme constraints.

Research Focus

Key Achievements

3
H-Index
4
Papers
26
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Radar SLAM for Autonomous Indoor Grinding
14 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Institute of Automation, RWTH Aachen University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago