Papers
25
Total Citations
365
H-Index
12
About
Mahmoud Elsamanty is a prolific robotics researcher whose work spans soft robotics, bioinspired systems, intelligent control, and robotic manipulator design. He has emerged as a significant contributor to the field of soft pneumatic actuators, developing novel geometric configurations and data-driven modeling approaches that push the boundaries of what flexible robotic systems can achieve. His highly cited 2022 review on underwater soft robotics (82 citations) established him as an authoritative voice on bioinspired design, surveying how nature's creatures inform next-generation robotic systems. Elsamanty has championed the use of machine learning techniques — including echo state networks, convolutional neural networks, and artificial neural networks — to tackle the notoriously complex modeling and control challenges inherent to soft, deformable robots. His biomimetic turtle robot and variable inclined air pillow actuator demonstrate a talent for translating biological principles into functional engineering prototypes. Beyond soft robotics, his research extends to hybrid serial-parallel manipulators and even novel ground-aerial autonomous robots, reflecting impressive breadth. With over 270 cumulative citations across his top publications, Elsamanty's work is making meaningful strides in advancing human assistive devices, underwater robotics, and intelligent robotic control systems.
Research Focus
Key Achievements
Top Papers
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- 9Novel hybrid ground/aerial autonomous robot13 citations · 2012
- 10Modelling of Continuum Robotic Arm Using Artificial Neural Network (ANN)13 citations · 2019