Monjurul Hasan

Papers

Total Citations

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About

Monjurul Hasan is a robotics researcher whose work centers on the modeling, control, and manipulation of dexterous robotic hands, with a particular focus on overcoming the inherent uncertainties in grasping unstructured objects. His most-cited paper, "Modelling and Control of the Barrett Hand for Grasping" (2013, 15 citations), addresses a core challenge in robotics: achieving stable grasps despite nonlinear robot dynamics, unknown object stiffness, and unpredictable contact types. By developing a robust mathematical model for the Barrett Hand, Hasan provides a foundational framework for controlling this complex, multi-fingered gripper in real-world scenarios. This contribution is critical for advancing autonomous manipulation in fields like manufacturing, prosthetics, and service robotics. His work bridges the gap between theoretical control systems and practical robotic applications, offering solutions that enhance the reliability and adaptability of robot hands. For students and researchers, Hasan’s research exemplifies how rigorous modeling can unlock new capabilities in robotic grasping, making it a key reference for anyone exploring dexterous manipulation and the challenges of physical human-robot interaction.