Ezgi Demirel

Papers

Total Citations

H-Index

About

Ezgi Demirel is a researcher focused on human-robot interaction and multi-robot systems in public spaces, with particular expertise in autonomous navigation and cognitive modeling. Her work centers on developing robust, self-directed robotic systems that can operate in complex, unstructured environments like shopping malls and public areas while interacting naturally with people. Demirel’s most cited paper, "Human-Robot Interaction in a Shopping Mall: A CNL Approach" (2016, 4 citations), explores how controlled natural language can facilitate intuitive communication between humans and robots in real-world retail settings. Her follow-up work, "COACHES: An assistance multi-robot system in public areas" (2017, 3 citations), presents a pioneering integrated system that combines high-level environment modeling using knowledge-based reasoning with sophisticated scene understanding through robust image analysis. This system demonstrates how multiple autonomous robots can coordinate to assist people in crowded public spaces. Demirel’s contributions are particularly notable for bridging the gap between theoretical robotics research and practical deployment in challenging, dynamic environments, offering valuable insights for the development of socially-aware service robots.