Michael Ruhnke
Papers
13
Total Citations
1,017
H-Index
11
About
Michael Ruhnke is a leading researcher in mobile robotics, whose work has fundamentally advanced the fields of Simultaneous Localization and Mapping (SLAM) and autonomous navigation in complex, real-world environments. His most significant contributions lie in developing rigorous benchmarks for evaluating SLAM algorithms, most notably through his highly cited 2009 paper "On measuring the accuracy of SLAM algorithms" (333 citations), which established a standard metric for comparing trajectory errors. He further solidified this foundation with "A comparison of SLAM algorithms based on a graph of relations" (124 citations). Ruhnke has also been a pioneer in enabling robots to operate reliably in challenging, dynamic settings, such as highly populated pedestrian zones and across changing seasons. His work on robust visual SLAM across seasons (99 citations) and place recognition in 3D scans (113 citations) has been instrumental in achieving long-term autonomy. By tackling the core challenges of metric evaluation, robust perception, and navigation in crowded urban environments, Ruhnke’s research has provided both the tools and the insights necessary for robots to move from controlled labs into the unpredictable, real world.
Research Focus
Key Achievements
Top Papers
- 1On measuring the accuracy of SLAM algorithms333 citations · 2009
- 2Autonomous Robot Navigation in Highly Populated Pedestrian Zones124 citations · 2014
- 3A comparison of SLAM algorithms based on a graph of relations124 citations · 2009
- 4
- 5Robust visual SLAM across seasons99 citations · 2015
- 6Localization on OpenStreetMap data using a 3D laser scanner86 citations · 2015
- 7A navigation system for robots operating in crowded urban environments66 citations · 2013
- 8
- 9Vision-based Markov localization for long-term autonomy16 citations · 2016
- 10