Panagiotis Agrafiotis
Papers
1
Total Citations
27
H-Index
1
About
Dr. Panagiotis Agrafiotis is a leading researcher in assistive robotics and computer vision, with a primary focus on enhancing human-robot interaction in extreme environments. His most impactful work centers on developing innovative detection and localization systems for victims in Urban Search and Rescue (USAR) scenarios. In his highly cited 2017 paper, Dr. Agrafiotis proposed a groundbreaking assistive system that leverages miniaturized Long Wave Infrared (LWIR) cameras combined with advanced template matching algorithms to detect humans using very low-resolution thermal imagery. This work directly addresses a critical challenge in disaster response: reliably locating victims in smoke, dust, or darkness where conventional sensors fail. His approach demonstrates how combining thermal sensing with visual cues can significantly improve detection accuracy under severe constraints, achieving 27 citations and influencing subsequent research in field robotics. Dr. Agrafiotis’s contributions are vital for developing autonomous rescue robots that can navigate collapsed structures and identify survivors, making him a key figure in bridging computer vision and humanitarian technology.
Research Focus
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Top Papers
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