Mehmed Özkan

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About

Dr. Mehmed Özkan is a pioneering researcher in the field of soft robotics and human-machine interaction, with a particular focus on neural network control systems and sensory feedback mechanisms. His foundational work, "Defining a neural network controller structure for a rubbertuator robot" (2000, 21 citations), established critical frameworks for controlling soft, pneumatic actuators—known as rubbertuators—using adaptive neural networks, laying early groundwork for compliant and safe robotic systems. More recently, Dr. Özkan has advanced the understanding of haptic and proprioceptive feedback in prosthetic and robotic hands, as demonstrated in his preliminary study on sensory feedback evaluation (2018, 5 citations). His research bridges the gap between theoretical control architectures and practical, user-centered robotic applications, contributing to the development of more intuitive and responsive assistive devices. With a career spanning over two decades, Dr. Özkan’s work continues to influence the design of soft robots that can safely interact with humans, making him a notable figure in the evolution of bio-inspired robotics and neural control.