Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Farid Kenas is a leading researcher in the field of rehabilitation robotics, specializing in the advanced control of lower limb exoskeletons. His work centers on developing model-free adaptive control strategies that integrate neural network estimation and swarm-based optimization to enhance the precision and safety of robotic rehabilitation devices. Dr. Kenas’s major contributions include pioneering the use of Backstepping-Super Twisting control combined with Radial Basis Function (RBF) neural networks, as well as implementing Multilayer Perceptron (MLP) neural networks for finite-time motion control. His most-cited paper, "Model-free based adaptive BackStepping-Super Twisting-RBF neural network control with α-variable for 10 DOF lower limb exoskeleton" (2024), has garnered 10 citations, reflecting its impact on the field. Additionally, his 2023 work on model-free adaptive finite time control with MLP estimation has been widely recognized. With a growing citation record and recent publications extending into 2025, Dr. Kenas is establishing himself as a key innovator in intelligent, adaptive control systems for assistive robotics, directly contributing to more effective and responsive rehabilitation technologies.