Abdelrahman Osman Elfaki
Papers
2
Total Citations
52
H-Index
2
About
Abdelrahman Osman Elfaki is a leading researcher in social robotics and autonomous navigation, with a focus on enhancing the intelligence and real-world applicability of robotic systems. His key contributions include pioneering a SLAM-based localization and navigation system for social robots, specifically demonstrated with the Pepper robot, which enables safe, efficient, and autonomous indoor travel—a critical advancement for service robots in healthcare and education. This work has garnered 31 citations, reflecting its impact on practical robot deployment. Elfaki also proposed a cloud-based framework to revolutionize social robotics by offloading computational tasks from embedded systems, significantly boosting robot autonomy and intelligence. This influential paper, with 21 citations, addresses core limitations in current platforms, paving the way for more responsive and capable social robots. His research bridges the gap between theoretical robotics and real-world interaction, earning recognition for its potential to transform human-robot collaboration. Elfaki’s work is essential reading for students and researchers aiming to develop next-generation autonomous social robots that navigate and interact seamlessly in human environments.
Research Focus
Key Achievements
Top Papers
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