Ana-Maria Stoian

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About

Ana-Maria Stoian is a researcher in human-machine interaction and robotics, with a focus on myoelectric control systems that bridge the gap between human intent and machine action. Her work centers on designing intuitive interfaces that use muscle signals to control industrial and mobile robots, making automation more accessible and responsive. In her most-cited paper, "On the design of a myoelectric human-machine interface for the control of an industrial robot" (2019), she presents a system that uses a Thalmic Labs Myo armband to command a KUKA KR15 industrial robot, showcasing a practical, non-invasive approach to robotic control. Her related work, "Arduino mobile robot with Myo Armband gesture control" (2019), extends this concept to a tracked mobile platform, demonstrating the versatility of myoelectric interfaces in different robotic contexts. Although her citation counts are modest, her contributions are notable for their hands-on, implementation-focused approach, offering a blueprint for integrating wearable sensors into real-world robotic systems. Stoian’s research is particularly valuable for students and engineers interested in the intersection of biomedical signal processing, embedded systems, and robotics, providing a clear example of how to build low-cost, gesture-driven control systems that could enhance human-robot collaboration in industrial and assistive settings.