Elsayed A. Sallam
Papers
8
Total Citations
214
H-Index
5
About
Elsayed A. Sallam is a robotics and control systems researcher whose work centers on intelligent control strategies for robotic manipulators and mobile robots. His research is distinguished by a sophisticated blending of fuzzy logic, sliding mode control, and adaptive techniques to address the persistent challenges of nonlinearity, uncertainty, and external disturbances in robotic systems. Sallam's most influential contribution, "Adaptive Fuzzy Sliding Mode Control Using Supervisory Fuzzy Control for 3 DOF Planar Robot Manipulators" (2011), has garnered 148 citations, establishing him as a notable voice in robust motion control. This work, alongside companion studies on fuzzy PID and self-tuning decoupled fuzzy PI controllers, demonstrates his sustained effort to develop practical, adaptive solutions for industrial robot arms where conventional controllers fall short. His 2016 paper on adaptive sliding-mode control for nonholonomic mobile robots extended these principles to wheeled autonomous platforms, reflecting a broadening research scope. Beyond manipulation control, Sallam has explored tactile sensing for autonomous robots operating in unstructured environments, underscoring an interest in sensor-integrated robotic intelligence. With a cumulative citation profile that highlights real-world applicability, his body of work offers students and engineers a valuable foundation in hybrid intelligent control architectures for modern robotics.
Research Focus
Key Achievements
Top Papers
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- 4Adaptive sliding-mode dynamic controller for nonholonomic mobile robots11 citations · 2016
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