Samir Shaker

Papers

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About

Dr. Samir Shaker is a pioneer in the field of human-robot interaction, with a focused expertise in developing intelligent control systems for service robots. His primary research centers on the critical challenge of person-following—enabling robots to autonomously and safely track and accompany human companions. Dr. Shaker’s major contribution lies in his innovative application of fuzzy inference systems to solve this complex problem. Rather than relying on rigid classical mathematical models, he introduced a flexible, rule-based approach that allows robots to intuitively maintain a safe and comfortable distance from a person while navigating dynamic environments. His seminal 2008 paper, "Fuzzy Inference-Based Person-Following Robot," has garnered 20 citations, establishing a foundational framework for this domain. This work, along with his subsequent refinement in "Person-following using fuzzy inference," demonstrates his commitment to making service robots more practical and responsive. Dr. Shaker’s research is particularly notable for its direct application to assistive and domestic robotics, where natural human-robot collaboration is essential. His contributions continue to influence modern approaches to autonomous navigation and human-aware motion planning.