Oliver Wulf
Papers
8
Total Citations
213
H-Index
6
About
Oliver Wulf is a pioneer in autonomous mobile robotics, with a career focused on bridging the gap between 3D perception and robust 2D navigation. His foundational work on SLAM (Simultaneous Localization and Mapping) in unstructured outdoor environments—detailed in his most-cited paper (84 citations)—introduced the concept of "leveled range scans," a method that fuses 3D laser data with 2D localization to enable reliable robot navigation over rough terrain. Wulf further advanced the field by developing colored 2D maps (35 citations), which integrate semantic information from 3D sensors into lightweight, navigable representations for urban service robots. His research on 3D mapping with semantic knowledge (55 citations) laid the groundwork for robots to understand their surroundings beyond mere geometry, a critical step toward intelligent autonomy. Wulf also contributed to practical robot control with a hybrid feedback controller (16 citations) that seamlessly combines reactive obstacle avoidance with global path replanning, and he addressed industrial localization using relative 3D ceiling features (10 citations). A participant in the RoboCup Rescue League, Wulf’s work has directly influenced the design of robots for search-and-rescue missions, demonstrating a lasting impact on both academic research and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Using 3d laser range data for slam in outdoor environments84 citations · 2004
- 23D Mapping with Semantic Knowledge55 citations · 2006
- 3Colored 2D maps for robot navigation with 3D sensor data35 citations · 2005
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- 7Object Detection for a Mobile Robot Using Mixed Reality5 citations · 2006
- 8The RoboCup Rescue Team Deutschland1.2 citations · 2006