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Mojtaba Riyahi Vezvari is a robotics researcher specializing in optimal control, trajectory planning, and dynamic balancing for cable-driven and parallel robotic systems. His work focuses on developing innovative approaches to minimize actuator effort and energy consumption in robotic manipulators. In a seminal 2015 paper, he introduced a new balancing method for planar cable robots that simultaneously optimizes trajectories, control inputs, and counterweight values—an indirect optimal control approach that has garnered 6 citations. He extended this work to two-link robot manipulators in 2020, achieving zero-power balancing for predefined point-to-point tasks, also cited 6 times. That same year, he published a study on perfect torque compensation for planar 5R parallel robots, formulating the problem as an open-loop optimal control problem where design parameters are adjusted alongside trajectory planning. With a consistent citation impact across his most-cited works, Vezvari’s contributions advance the practical efficiency of robotic systems, offering elegant solutions to reduce power requirements in industrial and research applications. His research is particularly valuable for students and engineers exploring energy-optimal motion planning and passive balancing techniques.