MennaAllah Soliman
Papers
11
Total Citations
319
H-Index
8
About
MennaAllah Soliman is a pioneering researcher at the intersection of soft robotics, bioinspiration, and biohybrid systems. Her work centers on designing, modeling, and controlling soft pneumatic actuators and robots that mimic biological creatures, from turtles and fish to pangasius. Soliman’s major contributions include developing variable inclined air pillow soft actuators for bioimpedance applications and creating data-driven models using echo state networks and reinforcement learning to tackle the notoriously difficult challenge of controlling highly deformable soft robots. Her most cited paper, “Underwater Soft Robotics: A Review of Bioinspiration in Design, Actuation, Modeling, and Control” (2022, 82 citations), has become a key reference in the field. She has also advanced biohybrid soft robotics, integrating yeast-driven actuation with bioimpedance sensing for responsive, living-material robots. With over 300 total citations across her publications, Soliman’s work demonstrates significant impact, particularly in enabling robots to interact safely with delicate environments and biological tissues. Her achievements include pioneering the use of echo state networks for irregular time series data in soft actuator modeling and developing a soft biomimetic turtle robot that showcases the potential of morphology-based control.
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- 10Yeast-Driven and Bioimpedance-Sensitive Biohybrid Soft Robots6 citations · 2025