Ahmed Aldabbagh

Papers

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About

Ahmed Aldabbagh is an emerging researcher specializing in human-computer interaction (HCI), robotics, and computer vision, with a particular focus on making robotic systems more accessible through intuitive gesture-based control. His work consistently explores the intersection of low-cost hardware design and advanced software frameworks, democratizing robotics for broader applications. Aldabbagh's most influential contribution, "Gesture-Controlled Robotic Arm Utilizing OpenCV" (2021), has garnered 17 citations and introduced an innovative approach using a standard USB camera and computer vision to enable natural hand gesture control of a 3D printed robotic arm — significantly reducing the cost and complexity of HCI in robotics. He further expanded this vision with "Gesture Controlled Mobile Robot" (2023, 6 citations), extending gesture-based control to mobile platforms using wearable glove controllers powered by Arduino technology. His most recent work (2024) advances the field by incorporating MediaPipe into wireless robotic arm control, addressing the expertise barrier inherent in kinematic applications. Across his growing body of work, Aldabbagh demonstrates a clear commitment to developing affordable, user-friendly robotic systems that lower the threshold for human-robot interaction, making him a promising voice in accessible robotics research.