Ali Dokht Shakibjoo

Shahid Rajaee Teacher Training University

Papers

Total Citations

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About

Ali Dokht Shakibjoo is a robotics and control systems researcher whose work bridges the gap between theoretical control design and practical robotic applications. His primary research areas include formation control of multi-robot systems, nonlinear control of robotic manipulators, and intelligent control strategies using fuzzy logic and predictive methods. Shakibjoo’s most cited work, "Formation Control of Non-Holonomic Mobile Robots: Predictive Data-Driven Fuzzy Compensator" (2023, 17 citations), addresses the critical challenge of coordinating multiple robots in trajectory tracking, demonstrating how organized robot teams outperform individual units in efficiency, reliability, and resilience. His earlier influential paper, "2-DOF PID with reset controller for 4-DOF robot arm manipulator" (2015, 13 citations), tackles the complex nonlinear dynamics of industrial robotic arms, proposing a novel nonlinear control method that improves precision and stability. This work is particularly valuable for real-world industrial automation where traditional linear controllers fall short. Shakibjoo’s contributions are significant for students and researchers interested in advanced robotics, offering practical solutions for multi-agent coordination and manipulator control that directly impact manufacturing, autonomous systems, and cooperative robotics.