Alireza Azimi

Iran University of Science and Technology, Kharazmi University

Papers

Total Citations

H-Index

About

Alireza Azimi is a robotics researcher whose work bridges theoretical mechanics and practical agricultural automation. His primary research areas include the dynamic modeling of flexible robotic manipulators, robust control systems, and autonomous navigation for agricultural mobile platforms. Azimi’s most cited work, "Kinematic and dynamic modeling of viscoelastic robotic manipulators using Timoshenko beam theory: theory and experiment" (2013, 51 citations), represents a significant contribution to soft robotics and flexible manipulator design. By applying Timoshenko beam theory to viscoelastic materials, he provided a more accurate framework for predicting manipulator behavior, bridging the gap between simulation and real-world experimental validation. More recently, Azimi has focused on field robotics, developing an integrated H∞ robust adaptive controller for double-Ackermann steering robots used in orchard waypoint navigation (2024). This work directly addresses the practical challenges of tight row-end turning and disturbance rejection in small-scale orchards. His latest research introduces a novel control paradigm for collision-free trajectory tracking in tractor-trailer robots (2025), tackling the complex nonholonomic constraints inherent in such systems. Through these contributions, Azimi is advancing the reliability and autonomy of agricultural robots, with his foundational work continuing to influence flexible manipulator design.