Mohammed Abduljabbar

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About

Mohammed Abduljabbar is at the forefront of social robotics, pioneering cloud-based architectures that dramatically enhance the intelligence and autonomy of human-robot interaction. His most influential work, "Revolutionizing Social Robotics: A Cloud-Based Framework for Enhancing the Intelligence and Autonomy of Social Robots" (2023), has already garnered 21 citations, signaling a significant shift in the field. Abduljabbar’s core contribution addresses a fundamental limitation of existing social robots: their reliance on embedded or local computers, which restricts computational power, scalability, and real-time learning. By offloading complex processing to the cloud, his framework enables robots to access vast datasets, advanced AI models, and collaborative intelligence, effectively decoupling physical hardware from cognitive capability. This breakthrough allows social robots to become more responsive, adaptive, and capable of handling nuanced tasks in healthcare, education, and entertainment. Earlier work, including the "Web Platform for General Robot Controlling system" (2022) applied to the humanoid robot AbuSaif at UAE University’s AI and Robotics Lab, laid the groundwork for this vision. Abduljabbar’s research is not merely incremental; it redefines the operational paradigm for social robotics, promising a future where robots are not constrained by their onboard hardware but are instead empowered by the limitless resources of the cloud.