Papers
4
Total Citations
17
H-Index
3
About
S. Rolfes is a researcher whose work lies at the intersection of mobile robotics, environmental perception, and autonomous navigation. Her primary contributions focus on developing robust methods for robots to understand and safely traverse natural, unstructured environments. A central theme in her research is the use of probabilistic and fuzzy logic frameworks to handle the inherent uncertainty of real-world sensing. In her most cited work, "Statistical environment representation for navigation in natural environments" (2002, 6 citations), she pioneered techniques for building statistical models of surroundings from sensor data, enabling more reliable path planning. Her related papers, including "Shape recognition: a fuzzy approach" (2002, 4 citations) and "Learning safe navigation in uncertain environments" (2000, 4 citations), further explore how robots can learn to associate perceived objects with internal maps and make safe decisions despite noisy inputs. Rolfes also introduced a novel perspective in "Stochastic geometry: an approach to featureless perception-based robot navigation" (2002, 3 citations), tackling the challenge of navigating without relying on distinct landmarks. While her citation counts reflect a focused, specialized impact, her work represents an important step toward bridging perception and action for robots operating in the wild, contributing foundational ideas to the fields of field robotics and probabilistic navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Shape recognition: a fuzzy approach4 citations · 2002
- 3Learning safe navigation in uncertain environments4 citations · 2000
- 4