Max Robotics — Global Service Robot Directory + US Certification

About

Odekhe Randolph Osivue is a robotics and assistive technology researcher whose work centers on the design, control, and optimization of elderly-assistant and walking-assistant robots (EWR). His research addresses a critical global challenge: developing intelligent, multifunctional robotic systems that enhance mobility, safety, and quality of life for elderly individuals. Osivue's most cited work (2017, 10 citations) introduced a structurally innovative EWR capable of functioning both as an intelligent wheelchair and a smart walking aid, overcoming the limitations of single-function predecessors through improved human-computer interaction and fall prevention mechanisms. Building on this foundation, he advanced the robot's intelligence through PID-based motor control for precise speed and directional management, and developed a fuzzy logic obstacle avoidance system using ultrasonic sensors, reflecting his expertise in both classical and soft-computing control strategies. His subsequent research explored dynamic modeling of walking posture and vibration analysis under realistic fall-risk scenarios, demonstrating a rigorous, systems-level approach to user safety. With over 27 cumulative citations across five publications, Osivue's contributions represent meaningful progress in rehabilitation robotics and human-centered autonomous systems, offering a strong foundation for researchers working at the intersection of mechanical engineering, control systems, and assistive technology.