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About

Ezzat G. Bakhoum is a researcher advancing the frontiers of robotics, tactile sensing, and cyber-physical rehabilitation systems. His work centers on developing intelligent assistive technologies that bridge human motion with robotic control. A key contribution is his resolution enhancement method for force sensing resistor arrays, which provides a mathematical model to improve tactile sensor behavior—critical for robotic interaction with environments. This work has garnered 14 citations, reflecting its impact on sensor design. Bakhoum also pioneers twisted-string actuation, designing and fabricating assistive robotic devices that integrate multi-axial control and adaptive robust controllers to compensate for system uncertainties and nonlinear dynamics, as seen in his 2015 and 2016 papers. Notably, his recent 2024 publication on a cyber-physical rehabilitation system for virtual patient-therapist interaction addresses limitations in standalone robots by enhancing data processing and logistical efficiency. Through these contributions, Bakhoum demonstrates a commitment to creating more responsive, human-centered robotic systems, with applications spanning rehabilitation, sensor technology, and educational experiments in electrostatics.