Zulikha Ayomikun Adeola-Bello
Papers
2
Total Citations
11
H-Index
2
About
Zulikha Ayomikun Adeola-Bello is a pioneering researcher in the field of rehabilitation robotics, with a primary focus on power assist systems for upper limb therapy. Her work bridges the critical gap between fully automated rehabilitation robots—which risk patient injury—and manual therapy, which is physically demanding for therapists and limited by workforce shortages. Adeola-Bello’s major contributions center on developing control strategies that estimate and predict human motion intention, enabling safer, more intuitive human-robot interaction during rehabilitation. Her most-cited paper, “Power Assist Rehabilitation Robot and Motion Intention Estimation” (2022, 8 citations), provides a comprehensive review of control laws and estimation techniques for power assist robots, establishing a foundational framework for the field. Her subsequent work, “Control Strategy for Power Assist Upper Limb Rehabilitation Robot with the Therapist’s Motion Intention Prediction” (2023, 3 citations), advances this by integrating therapist motion prediction into robot control, enhancing both safety and therapeutic efficacy. Through these contributions, Adeola-Bello is shaping the next generation of assistive technologies that empower therapists and improve patient outcomes, making rehabilitation more accessible and effective worldwide.
Research Focus
Key Achievements
Top Papers
- 1Power Assist Rehabilitation Robot and Motion Intention Estimation8 citations · 2022
- 2