Martin Onyeka Okoye

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About

Dr. Martin Onyeka Okoye is a leading researcher in assistive robotics and human-robot interaction, specializing in intelligent systems for rehabilitation and mobility assistance. His work focuses on developing non-contact sensing and control strategies to enhance safety and autonomy for individuals with walking disabilities. Dr. Okoye’s most cited paper, "Walking Assist Robot: A Novel Non-Contact Abnormal Gait Recognition Approach Based on Extended Set Membership Filter" (2019, 29 citations), introduces a groundbreaking method for detecting abnormal gait patterns without physical contact, using advanced filtering techniques to improve human-robot interaction safety. This work is pivotal for fall prevention in gait rehabilitation robots. He further explores multi-robot systems (MRS) in "Quantitative Estimation of Differentiated Mental Fatigue between Self-Rising Transfer and Multiple Welfare Robots-Assisted Rising Transfer" (2020, 7 citations), where he quantifies cognitive load during assisted rising transfers—a frequent and strenuous task for those with weak motion capability. By integrating mental fatigue estimation into MRS control strategies, Dr. Okoye addresses critical ergonomic and psychological factors in assisted living. His contributions bridge robotics, biomedical engineering, and cognitive science, offering practical solutions for elderly care and rehabilitation. With a growing citation impact, Dr. Okoye’s work is shaping the future of intelligent, human-centered assistive technologies.