Asraf Mohamed Moubark

Papers

Total Citations

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About

Asraf Mohamed Moubark is a robotics researcher whose work focuses on advancing automation through robot arm kinematics, teleoperation, and visual servoing. His key contributions span trajectory planning for open-source robotic systems, bilateral teleoperation for agricultural excavators, and dynamic object tracking for industrial applications. In his most-cited paper, "Kinematic Analysis for Trajectory Planning of Open-Source 4-DoF Robot Arm" (2021, 25 citations), Moubark addresses the critical challenge of precisely positioning a robot arm’s end-effector for tasks like pick-and-place and painting, providing foundational methods for kinematic analysis. His 2023 study on bilateral teleoperation introduces a shared design for master and slave devices, enabling safer and more efficient robotic excavator use in agriculture, a field with growing automation needs. Additionally, his 2022 work on visual servo algorithms demonstrates real-time tracking and grasping of moving objects, a capability vital for pandemic-resilient industries. With a total of over 30 citations across these papers, Moubark’s research bridges theoretical kinematics and practical robotics, offering scalable solutions for both industrial and agricultural automation. His achievements highlight a commitment to open-source accessibility and human-robot interaction, making his work relevant for students and researchers exploring cost-effective, adaptive robotic systems.