Abdullah Nazir

Hong Kong University of Science and Technology

Papers

Total Citations

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About

Abdullah Nazir is a roboticist whose research pushes the boundaries of nonprehensile manipulation, focusing on how robots can move and handle objects without directly grasping them. His work centers on two key areas: the manipulation of deformable linear objects and the dynamic locomotion of rigid objects. In his highly cited 2019 paper, "Dynamic Flex-and-Flip Manipulation of Deformable Linear Objects" (24 citations), Nazir introduced a novel technique for robotic grippers to flex and flip thin, flexible items like cables or wires lying on a flat surface, solving a long-standing challenge in automation. He further advanced the field with his "Rock-and-Walk Manipulation" method (2022, 14 citations), which leverages passive rolling dynamics and periodic active control to enable objects to "walk" across a surface without being picked up. His earlier work on "Passive Dynamic Object Locomotion by Rocking and Walking Manipulation" (2019) laid the foundation for this approach, using gravity and rhythmic rocking to transport objects along a zigzag path. Nazir’s contributions are significant for industries like manufacturing and logistics, where delicate or awkwardly shaped objects must be handled efficiently. With a growing citation record, he is establishing himself as a leader in creative, energy-efficient robotic manipulation strategies.