Mariana Kolberg

Universidade Federal do Rio Grande do Sul

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

8
H-Index
21
Papers
155
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Traversability Analysis by Semantic Terrain Segmentation for Mobile Robots
24 citations · 2021
📈 Most Prolific Year: 2014 (4 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Universidade Federal do Rio Grande do Sul

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago