Zareei Mojtaba
Papers
1
Total Citations
3
H-Index
1
About
Dr. Mojtaba Zareei is a researcher specializing in robotics and optimization algorithms, with a particular focus on the design and control of parallel robotic systems. His major contributions center on the optimal design of a 4-degree-of-freedom Quattrotaar parallel robot, a specialized manipulator used for high-speed pick-and-place operations. In his most cited work, published in 2016, Dr. Zareei developed a comprehensive mathematical model and simulation of this robot, employing Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) algorithms to achieve a singularity-free workspace. This work is critical for ensuring smooth, uninterrupted motion in industrial automation, eliminating problematic configurations that can cause loss of control. By applying these nature-inspired optimization techniques, he demonstrated a systematic method for enhancing robot performance, reliability, and workspace quality. Although his citation count is currently modest, his research provides a foundational framework for engineers seeking to design more efficient and robust parallel robots. Dr. Zareei’s work is particularly valuable for students and researchers in robotics and mechatronics interested in the intersection of mechanism design and computational optimization.
Research Focus
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Top Papers
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