Mohammed Al-Rubaiai
Papers
7
Total Citations
205
H-Index
4
About
Mohammed Al-Rubaiai is a leading researcher in soft robotics and 3D-printed smart materials, with a focus on developing actuators and sensors that can modulate stiffness, shape, and sensing capabilities. His most influential work, "Soft Actuators with Stiffness and Shape Modulation Using 3D-Printed Conductive Polylactic Acid Material" (2019, 127 citations), introduces a compact method for tuning the mechanical properties of soft robots, enabling adaptive load-bearing and locomotion. Al-Rubaiai’s contributions extend to stretchable strain sensors for wind sensing (49 citations) and electrically controlled stiffness in conductive PLA (16 citations), demonstrating his expertise in integrating 3D printing with functional materials for robotics and wearable devices. His research also explores LED-based optical communication (6 citations) and distributed deformation monitoring in inflatable structures (2 citations), showcasing versatility across applications. With over 200 total citations, Al-Rubaiai’s work is pivotal for advancing soft robotics, structural health monitoring, and biomedical devices, offering practical solutions for real-world challenges in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2A 3D-printed stretchable strain sensor for wind sensing49 citations · 2019
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- 63D-Printed Stretchable Strain Sensor With Application to Wind Sensing2 citations · 2018
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