Mariana Kolberg
Papers
21
Total Citations
155
H-Index
8
About
Mariana Kolberg is a leading roboticist whose research centers on autonomous navigation, terrain perception, and integrated exploration for mobile robots operating in complex, unstructured environments. Her most impactful contribution is a novel approach to traversability analysis using semantic terrain segmentation (24 citations), enabling robots to safely navigate outdoor settings for search-and-rescue, patrolling, and delivery tasks. Kolberg has also pioneered exploration strategies that close loops efficiently, such as the Ouroboros method using potential fields in unexplored regions (15 citations) and the Loop-Aware Exploration Graph (6 citations), which optimizes map-building in real-time. Her work on hybridizing Monte Carlo and set-membership methods for underwater robot localization (12 citations) and fast Monte Carlo localization using spatial density (9 citations) has advanced global localization in challenging domains. Notably, during the COVID-19 pandemic, she developed an autonomous disinfection system using dynamic UV-C irradiation maps (10 citations), demonstrating her research’s real-world impact. With over 120 total citations across her top papers, Kolberg’s contributions are essential reading for anyone interested in autonomous navigation, semantic perception, and practical robotic deployment.
Research Focus
Key Achievements
Top Papers
- 1Traversability Analysis by Semantic Terrain Segmentation for Mobile Robots24 citations · 2021
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- 3Ouroboros: Using potential field in unexplored regions to close loops15 citations · 2015
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- 5Integrated exploration using time-based potential rails11 citations · 2014
- 6Autonomous Environment Disinfection Based on Dynamic UV-C Irradiation Map10 citations · 2022
- 7Fast Monte Carlo Localization using spatial density information9 citations · 2015
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- 10