Ihab BA Samaneh
Papers
1
Total Citations
19
H-Index
1
About
Ihab BA Samaneh has made pioneering contributions at the intersection of robotics, wireless sensing, and industrial automation. His key research areas include ultra-wideband (UWB) radar sensor networks, robot vision, and non-cooperative localization in complex environments. Samaneh’s most cited work, "Robot vision ultra-wideband wireless sensor in non-cooperative industrial environments" (2018, 19 citations), introduces a novel approach for tracking robot grippers behind obstacles using UWB technology and centralized data fusion. This research addresses critical challenges in cluttered industrial settings where traditional line-of-sight methods fail. By demonstrating how UWB radar sensor networks can enable precise localization without direct visibility, Samaneh has advanced the practical deployment of autonomous robotic systems in manufacturing and logistics. His work bridges the gap between theoretical sensor fusion and real-world industrial applications, offering scalable solutions for non-cooperative environments. With growing citation impact, Samaneh continues to influence the fields of industrial robotics and wireless sensing, providing foundational insights for researchers developing robust, obstacle-tolerant automation systems.
Research Focus
Key Achievements
Top Papers
- 1