Sajjad Shahgholian

Iran University of Science and Technology

Papers

Total Citations

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About

Sajjad Shahgholian is a researcher in robotics and control systems, with a focus on autonomous mobile platforms and non-linear control theory. His most-cited work, "Design an omnidirectional autonomous mobile robot based on non‐linear optimal control to track a specified path" (2024), has garnered 4 citations, showcasing his contributions to advancing motion control for complex robotic systems. Shahgholian’s research addresses the challenges of designing effective control strategies for omnidirectional robots equipped with Mecanum wheels, which exhibit non-linear dynamics due to their unique wheel structure and multiple inputs and outputs. By exploring non-linear optimal control techniques, he has developed methods to improve path tracking accuracy and system stability, enabling these robots to navigate precisely in constrained environments. His work is particularly valuable for applications in industrial automation, warehouse logistics, and service robotics, where maneuverability and precision are critical. Shahgholian’s achievements include integrating theoretical control frameworks with practical robotic design, bridging the gap between simulation and real-world deployment. His research continues to influence the development of autonomous systems, offering insights into robust control for multi-input, multi-output non-linear platforms.