Patrick Wolf
Papers
10
Total Citations
54
H-Index
4
About
Patrick Wolf is a leading researcher in autonomous off-road robotics, with a focus on perception, navigation, and control for unstructured environments. His work bridges the gap between rugged outdoor applications and intelligent automation, particularly in construction and rough-terrain scenarios. Wolf’s major contributions include developing quality-based behavior control systems for robots operating in challenging conditions, as demonstrated in his most-cited paper (14 citations), and pioneering sensor-fusion methods that account for uncertain data quality to enable robust off-road perception (11 citations). He has also advanced the use of high-fidelity simulators, like Unreal Engine 4, to test autonomous systems in realistic unstructured settings (9 citations). Notably, Wolf has applied his expertise to road construction, coordinating autonomous tandem rollers for asphalt compaction optimization and task assignment—work that has practical implications for infrastructure automation. His research on integrating human skeleton models for dynamic risk management and using deep neural networks for rock detection further showcases his versatility. With over 50 citations across his top papers, Wolf’s contributions are shaping the future of autonomous navigation in complex, real-world environments, making him a key figure in off-road robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10Localization using OSM landmarks2 citations · 2021