Oqua Ika Oqua

Papers

Total Citations

H-Index

About

Dr. Oqua Ika Oqua is a pioneering researcher in human-robot interaction and assistive technologies, with a focus on bridging the gap between physical and digital interfaces. His most cited work, "3D Printed Data Glove Design for VR Based Hand Gesture Recognition" (2018, 4 citations), introduces a low-cost, customizable data glove for virtual reality environments, enabling intuitive hand gesture recognition for applications in telerobotics, rehabilitation, and human-robot collaboration. This contribution exemplifies his commitment to accessible engineering solutions, combining 3D printing, microcontroller integration, and computer vision to empower users with disabilities and enhance immersive control systems. Dr. Oqua’s research spans mobile robotics, object detection, and image matching, often emphasizing real-time position control and adaptive interfaces. While his citation count reflects an emerging career, his work has laid foundational groundwork for cost-effective assistive robotics, with potential impacts on rehabilitation aids and VR-based training. His interdisciplinary approach—merging control engineering, robotics, and human-centered design—positions him as a rising voice in the field, dedicated to making advanced interaction technologies more inclusive and practical for real-world deployment.