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About

Dr. A.S. Sekmen is a pioneering researcher in human-robot interaction (HRI), with a career dedicated to making robots more intuitive and responsive to human presence. His foundational work, including his thesis on "Human-robot interaction methodology," established a critical taxonomy classifying HRI into passive, semi-active, and full-active modes—a framework that has shaped subsequent research. Sekmen’s most impactful contribution, "An application of passive human-robot interaction: human tracking based on attention distraction" (52 citations), demonstrates his innovative approach by integrating sound source localization and infrared motion detection to enable robots to track humans without explicit commands. This work exemplifies his focus on passive HRI, where robots interpret human cues naturally. He also advanced remote robotics by developing Java-based Internet control mechanisms for mobile robots, allowing manual and autonomous navigation over the web. By exploring the role of location and environmental knowledge in robot control, Sekmen has contributed to making autonomous systems more context-aware. His research, with over 80 total citations, remains a cornerstone for engineers and students developing socially intelligent, non-intrusive robotic systems.