Hamed Tebianian

Papers

Total Citations

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About

Hamed Tebianian is a robotics and sensor fusion researcher whose work focuses on autonomous navigation, multi-sensor integration, and intelligent detection systems. His most cited paper, “A novel detection and navigation approach based on OWA fusion method” (2011, 6 citations), introduces the Venus landmine detection robot, which uses three electromagnetic sensors controlled by an ordered weighted averaging (OWA) fusion approach. This work demonstrates his contribution to improving detection efficiency and reducing power consumption in hazardous environments. Tebianian’s research addresses critical challenges in field robotics, particularly in combining heterogeneous sensor data for reliable real-time decision-making. Though his citation count is modest, his work is notable for its practical application in humanitarian demining, a domain where safety and accuracy are paramount. His achievements include the design and implementation of a fully functional robotic platform, showcasing his ability to translate theoretical sensor fusion methods into deployable systems. For students and researchers in robotics, Tebianian’s work offers a clear example of how OWA-based fusion can enhance autonomous navigation in constrained, high-stakes settings, making his contributions both technically sound and socially impactful.