Sameh I. Beaber
Papers
6
Total Citations
42
H-Index
4
About
Sameh I. Beaber is a robotics researcher whose work spans legged locomotion, soft robotics, and brain–machine interfaces for rehabilitation. His core contributions lie in dynamic modeling and control of multi-legged robots, where he developed detailed kinematic models for hexapod platforms using Matlab SimMechanics, and pioneered adaptive tripod gaits for path following and energy-efficient traversal of inclined terrain. More recently, Beaber has advanced soft robotics through physics-guided deep learning surrogate models that capture the nonlinear behaviors of pneumatic soft actuators, enabling more accurate control of deformable structures. His work on NeuroFlex—an EEG-based motor imagery system for controlling a soft robotic glove—demonstrates a compelling integration of neural signal processing and compliant robotics for hand rehabilitation after stroke or spinal cord injury. With over 40 citations across his most-cited works, Beaber’s research is gaining traction in both the robotics and assistive technology communities. His combination of simulation-driven design, real-time control, and human-centered application positions him as a versatile engineer contributing to the next generation of adaptive, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Dynamic Modeling and Control of the Hexapod Robot Using Matlab SimMechanics12 citations · 2018
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- 5Road Following for Hexapod Mobile Robot with Adaptive Tripod Gait2 citations · 2020
- 6