Steinbrink Marco

Deutsche Montan Technologie (Germany)

Papers

1

Total Citations

2

H-Index

1

About

Marco Steinbrink is a robotics researcher whose work focuses on advancing autonomous navigation for wheeled robots operating in complex, unstructured environments. His key research areas include traversability analysis, terrain mapping, and motion planning. Steinbrink’s major contribution is a novel traversability analysis framework that leverages point-region-quadtree-based elevation maps to enable robots to assess and navigate challenging terrain. This approach allows for optimized trajectory planning by detecting and rating obstacles in direct relation to a robot’s specific morphology, such as its wheelbase and clearance. By tailoring the quadtree structure to the robot's physical constraints, his method enhances both safety and efficiency in path selection. Although his most-cited paper, "Traversability Analysis for Wheeled Robots using Point-Region-Quad-Tree based Elevation Maps" (2022), has garnered 2 citations to date, it represents a foundational step toward more adaptive and terrain-aware robotic systems. Steinbrink’s work is particularly relevant for field robotics applications, including planetary exploration and disaster response, where reliable off-road navigation is critical. His research continues to push the boundaries of how robots perceive and interact with their surroundings.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Traversability Analysis for Wheeled Robots using Point-Region-Quad-Tree based Elevation Maps
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Deutsche Montan Technologie (Germany)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago