Marko Boben

Papers

Total Citations

H-Index

About

Marko Boben’s research focuses on spatial cognition and autonomous robotics, particularly how mobile robots can build and use hierarchical models of their environments. His major contribution lies in developing compact, scalable representations of space that allow robots to categorize rooms and navigate complex real-world settings with minimal computational overhead. His most cited work, “Room Categorization Based on a Hierarchical Representation of Space” (2013, 7 citations), introduces a compositional hierarchy that balances expressive power with efficiency, enabling robots to generalize across different environments without exhaustive training. This approach addresses a critical challenge in robotics: creating spatial models that scale well with the number of categories while remaining robust in dynamic, unstructured spaces. Boben’s work has influenced subsequent research in semantic mapping and spatial reasoning, providing a foundation for more adaptive robotic systems. His achievements demonstrate a commitment to bridging theoretical models with practical deployment, making his research particularly valuable for students and engineers working on autonomous navigation and environment understanding.