Mir Amin Hosseini

Papers

Total Citations

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About

Mir Amin Hosseini is a researcher specializing in robotics, parallel kinematic mechanisms, and computational kinematics. His work focuses on the design, optimization, and control of parallel manipulators, particularly the Tricept robot, which is widely used in machining and industrial automation. Hosseini’s most cited paper, "Cartesian workspace optimization of Tricept parallel manipulator with machining application" (2014, 32 citations), presents a method to maximize the cubic workspace of a Tricept robot with two rotational and one translational degrees of freedom, directly impacting the sizing of workpieces for precision machining. In a more recent contribution, "Kinematic Synthesis of Parallel Manipulator via Neural Network Approach" (2019, 7 citations), he introduces artificial neural networks to solve inverse kinematic equations, offering a novel, data-driven alternative to traditional analytical methods. This work bridges robotics and machine learning, showcasing Hosseini’s forward-looking approach to kinematic synthesis. With a career dedicated to enhancing the performance and applicability of parallel robots, Hosseini’s research is valuable for engineers and researchers working on robotic manipulators, automation, and intelligent control systems.