Eya Affes

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About

Eya Affes is a robotics researcher whose work bridges the gap between assistive technology and industrial automation. Her primary research areas include human-robot interaction, computer vision, and intelligent control systems for both domestic and manufacturing environments. Affes’s most impactful contribution is her development of a Smart Assistant Robot for smart home management, which integrates the open-source Mycroft AI voice assistant to help elderly individuals control their home environment. This work, which has garnered 8 citations, demonstrates her commitment to accessible, user-centered robotics. In the industrial domain, she has advanced the field of automated manufacturing by developing novel 2D vision-based methods for detecting and locating texture-less sheet metal parts. Her approach, applied to a KUKA KR6 R900 sixx robot arm, enables precise multi-object recognition and sorting—a significant achievement for flexible production lines. Further extending this work, Affes has combined multiple vision techniques to control the same robotic platform for complex sorting tasks. Through these projects, she has established herself as a researcher adept at applying practical, software-driven solutions to real-world challenges in both service and industrial robotics.