Adeyinka P. Adedigba

Federal University of Technology Minna, Kyungpook National University

Papers

Total Citations

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About

Dr. Adeyinka P. Adedigba is a pioneering researcher at the intersection of robotics, artificial intelligence, and healthcare automation. His work primarily focuses on developing intelligent robotic systems for high-risk environments, with key contributions in deep learning-enhanced teleoperation and multi-robot coordination. Dr. Adedigba’s most cited paper, "Deep Learning-based Classification of COVID-19 Lung Ultrasound for Tele-operative Robot-assisted Diagnosis" (2021, 8 citations), addresses a critical global challenge: protecting healthcare workers during pandemics. By integrating deep learning with teleoperated robotics, his system enables remote diagnosis of COVID-19 via lung ultrasound, potentially reducing infection risks for over 300,000 healthcare workers worldwide. This work demonstrates his commitment to deploying AI for life-saving applications. His second notable contribution, "Cooperative Coevolutionary Genetic Algorithm for Multirobot Task Scheduling in Antarctica region" (2025, 4 citations), showcases his versatility in tackling extreme environment challenges. By developing a coevolutionary algorithm for multi-robot coordination, he advances autonomous systems capable of operating in harsh, remote locations like Antarctica. With a growing citation impact, Dr. Adedigba’s research bridges cutting-edge AI with practical robotics, offering solutions that enhance safety and efficiency in both medical and exploratory contexts.