Numan Keskin
Papers
1
Total Citations
3
H-Index
1
About
Numan Keskin is a robotics researcher whose work focuses on autonomous mobile robot navigation and mapping in complex, unstructured environments. His key research areas include simultaneous localization and mapping (SLAM), obstacle detection, and exploration strategies for robots operating in challenging terrains. Keskin’s most notable contribution addresses the underexplored problem of negative obstacles—such as ditches, holes, or depressions—that are invisible to standard 2D sensors. In his highly cited 2017 paper, "Autonomous mobile robot exploration in negative obstacle environment," he proposed a novel approach that integrates 2D SLAM with 3D mapping to detect both positive and negative obstacles, enabling robots to navigate safely and explore autonomously. This work has garnered 3 citations and stands out for its practical solution to a critical gap in field robotics. By combining efficient 2D navigation with a richer 3D environmental model, Keskin’s research has implications for search-and-rescue, planetary exploration, and agricultural robotics. His achievements demonstrate a keen ability to bridge theoretical SLAM methods with real-world deployment constraints, making his work a valuable reference for researchers developing robust autonomous systems for non-ideal environments.
Research Focus
Key Achievements
Top Papers
- 1Autonomous mobile robot exploration in negative obstacle environment3 citations · 2017