Victoria Oguntosin

University of Reading, Covenant University

Papers

15

Total Citations

200

H-Index

8

About

Victoria Oguntosin is a leading researcher at the intersection of soft robotics, rehabilitation engineering, and human-machine interaction. Her work focuses on developing wearable assistive technologies and intelligent control systems for motor rehabilitation, particularly for stroke survivors. Her most cited paper (57 citations) introduces a wearable soft robotic device for elbow rehabilitation, addressing the critical need for restoring motor function in upper limbs after neurological injury. She has made significant contributions to the design and characterization of artificial muscles using wedge-like pneumatic soft modules (37 citations), and pioneered novel brain-computer interfaces that combine virtual reality with soft robotics for rehabilitation (24 citations). Oguntosin’s research extends to multimodal control strategies, including hand gesture recognition via Leap Motion sensors, eye-tracking control of pneumatic actuators, and embedded fuzzy logic controllers for precise pressure regulation in soft robots. She has also developed low-cost electronic hardware designs and vision algorithms for sensing soft robots, making her work accessible for broader adoption. With over 180 total citations across her publications, Oguntosin’s innovative integration of soft robotics, biosignal processing, and affordable hardware design positions her as a key contributor to the future of assistive rehabilitation technologies.

Research Focus

Key Achievements

8
H-Index
15
Papers
200
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Development of a wearable assistive soft robotic device for elbow rehabilitation
57 citations · 2015
📈 Most Prolific Year: 2020 (5 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Reading, Covenant University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago