Khaled El-Monajjed
Papers
1
Total Citations
5
H-Index
1
About
Khaled El-Monajjed is a robotics and control systems researcher whose work centers on advancing nonlinear control strategies for rehabilitation robotics. His most notable contribution is the development of a novel adaptive reaching law for sliding mode control (SMC), specifically designed for upper limb exoskeleton robots. This innovation directly addresses a fundamental limitation of traditional SMC—chattering—while maintaining high trajectory tracking accuracy. By modifying the reaching law to adapt dynamically, El-Monajjed’s approach enables smoother, more precise control of nonlinear systems, a critical requirement for safe and effective human-robot interaction in medical exoskeletons. His 2020 paper on this topic has garnered early citations, reflecting its growing influence in the field of adaptive control and rehabilitation engineering. El-Monajjed’s work bridges theoretical control theory with practical application, offering a robust solution for assistive devices that must operate reliably under uncertain dynamics. His research holds promise for improving the quality of life for individuals with motor impairments, positioning him as an emerging contributor to the intersection of nonlinear control and biomedical robotics.
Research Focus
Key Achievements
Top Papers
- 1