Stelios Bekiros
Wilfrid Laurier University, University of Malta, Department of Medical Sciences
Papers
3
Total Citations
58
H-Index
3
About
Stelios Bekiros is a leading researcher in advanced robotics and nonlinear control systems, with a focus on non-holonomic spherical robots and rehabilitation robotics. His major contributions lie in developing robust, intelligent control algorithms that handle complex dynamics, uncertainties, and input saturation. Notably, his most-cited work introduces a recurrent neural network-based robust nonsingular sliding mode control for pendulum-driven spherical robots, achieving 52 citations and demonstrating a novel fusion of neural networks with sliding mode theory to stabilize highly nonlinear systems. He has also pioneered probabilistic finite-time estimators for rehabilitation robots with unknown dynamics, addressing real-world disturbance challenges. More recently, Bekiros has advanced robust PID sliding-surface control to manage nonlinear perturbations and uncertainty shocks in spherical robots. His research is characterized by rigorous mathematical modeling and practical applicability, bridging theoretical control engineering with real-world robotic systems. With a growing citation impact and a focus on cutting-edge estimation and control techniques, Bekiros is establishing himself as a key innovator in intelligent robotics and adaptive control, offering significant insights for students and researchers in nonlinear dynamics and autonomous systems.
Research Focus
Key Achievements
Top Papers
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