About

Maren Bennewitz is a prominent robotics researcher whose work spans mobile robot navigation, human-robot interaction, multi-robot coordination, and humanoid robotics. She is perhaps best known as a key contributor to OctoMap, a landmark probabilistic 3D mapping framework based on octrees that has become a foundational tool in robotics, accumulating an extraordinary 2,827 citations and achieving widespread adoption across the field. Her early career produced equally influential work through the MINERVA project, a tour-guide robot successfully deployed in a Smithsonian museum that navigated over 44 kilometers while interacting with thousands of visitors — a milestone in real-world autonomous robot deployment, reflected in over 1,200 combined citations across two seminal papers. Bennewitz also made significant contributions to multi-robot path planning, developing methods for optimizing priority schemes in decoupled coordination approaches. Her research further extends to understanding human motion patterns to enable socially compliant robot behavior, and to humanoid robotics, including whole-body model-predictive control and real-time human motion imitation. Across her career, Bennewitz has consistently bridged theoretical rigor with real-world application, producing research that remains deeply influential for students and practitioners working at the intersection of autonomous navigation, perception, and human-robot interaction.

Research Focus

Key Achievements

34
H-Index
142
Papers
8,315
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
OctoMap: an efficient probabilistic 3D mapping framework based on octrees
2,827 citations · 2013
📈 Most Prolific Year: 2024 (12 Papers)
🤝 Key Collaborators: 186
🏛 Institutions: University of Freiburg, University of Bonn, Brain (Germany), Lamarr Institute for Machine Learning and Artificial Intelligence, Centre for Artificial Intelligence and Robotics, Robotics Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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