Yesenia Aquilina
Papers
2
Total Citations
14
H-Index
2
About
Yesenia Aquilina is a robotics researcher whose work bridges automation and assistive technology, with a focus on creating intelligent systems for retail and inclusive environments. Her most cited paper, “An automated supermarket checkout system utilizing a SCARA robot: preliminary prototype development” (2019, 10 citations), introduces a novel approach to retail automation by deploying a SCARA robot to streamline checkout processes, reducing the cognitive and physical burden on customers. This work addresses a critical gap in self-checkout systems, which often require significant user intervention. Aquilina further extends her impact through the MARIS Project (“Mobile Assistive Robot in an Inclusive Space,” 2019, 4 citations), where she explores how mobile robots can enhance accessibility and autonomy for individuals with diverse needs in shared spaces. Her contributions are notable for their practical, user-centered design, aiming to make automation more intuitive and inclusive. With a growing citation footprint, Aquilina’s research is shaping the future of human-robot interaction in everyday settings, from retail to assistive care, and her work on the MARIS Project highlights her commitment to leveraging robotics for social good.
Research Focus
Key Achievements
Top Papers
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- 2