Emilia Motoasca
Papers
2
Total Citations
8
H-Index
2
About
Emilia Motoasca is a researcher whose work lies at the intersection of robotics, electromagnetic actuation, and adaptive control. Her key research areas include the design and modeling of spherical permanent magnet arrays for compact, multi-degree-of-freedom robotic systems, as well as the development of intelligent control strategies for compliant robot arms. Motoasca’s major contribution is her pioneering analytical method for computing the magnetic flux density of spherical permanent magnet arrays, detailed in her most-cited 2012 paper (5 citations). This work addresses a critical challenge in robotics: replacing bulky, heavy gearbox-driven actuators with lighter, more efficient electromagnetic alternatives that can mimic the complex motion of human limbs. Her 2020 paper (3 citations) further advances the field by introducing an adaptive neural control framework that enables compliant robot arms to generate rhythmic movements and adapt their frequency online, enhancing efficiency and human-robot interaction. Though her citation counts are modest, Motoasca’s contributions are notable for their foundational impact on the design of lightweight, dexterous robotic systems, offering a promising path toward more agile and human-like robots.
Research Focus
Key Achievements
Top Papers
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- 2