Farah Ezzeldin
Papers
1
Total Citations
5
H-Index
1
About
Farah Ezzeldin is an emerging researcher in biomedical robotics and soft actuator systems, with a focused expertise in sensor integration for humanoid robots. Her work centers on developing innovative measurement techniques for artificial soft muscles, a critical area for advancing lifelike robotic movement and assistive technologies. Her most-cited paper, "Flow rate measurement system for humanoid robot artificial soft muscles using rotameter-LVDT sensor integration" (2025), introduces a novel hybrid sensing approach that combines rotameter and linear variable differential transformer (LVDT) technologies to precisely monitor fluid flow in soft actuators. This contribution addresses a key challenge in soft robotics—accurate real-time control of muscle-like movements—and has already garnered 5 citations shortly after publication, signaling its relevance to the field. Ezzeldin’s work bridges mechanical engineering and biomedical applications, offering practical solutions for prosthetics and human-robot interaction. As a rising voice in this interdisciplinary domain, her research promises to enhance the dexterity and safety of next-generation robotic systems, making her a researcher to watch in the evolving landscape of soft robotics and sensor technology.
Research Focus
Key Achievements
Top Papers
- 1