Amr Eldemiry
Papers
1
Total Citations
17
H-Index
1
About
Amr Eldemiry is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and high-quality 3D reconstruction of unknown indoor environments. His most-cited paper, "Autonomous Exploration of Unknown Indoor Environments for High-Quality Mapping Using Feature-Based RGB-D SLAM" (2022, 17 citations), introduces a novel system that enables mobile robots to autonomously explore and map unfamiliar spaces without prior knowledge—a critical capability for applications like search-and-rescue missions, utility tunnel inspection, and indoor 3D modeling. By integrating feature-based RGB-D SLAM with intelligent exploration strategies, Eldemiry’s approach achieves both comprehensive coverage and high-fidelity mapping, addressing key limitations in existing autonomous mapping frameworks. His work bridges the gap between robust localization and efficient path planning, offering practical solutions for real-world deployment. With a growing citation impact, Eldemiry is establishing himself as a contributor to the advancement of autonomous robotics, particularly in challenging, unstructured indoor settings. His research holds promise for enhancing the autonomy and reliability of robots in critical infrastructure monitoring and emergency response scenarios.
Research Focus
Key Achievements
Top Papers
- 1