Amin Abbasi

Islamic Azad University, Isfahan, Islamic Azad University, Tehran, Islamic Azad University of Khomeynishahr

Papers

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About

Dr. Amin Abbasi is a leading researcher in autonomous mobile robotics, with a core focus on path planning, trajectory tracking, and optimal control strategies for wheeled robots. His work bridges bio-inspired optimization and classical control theory to enhance robotic navigation. In his highly cited 2019 paper (29 citations), Dr. Abbasi pioneered the use of Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Firefly Algorithm (FA) for efficient path planning, demonstrating how nature-inspired algorithms can solve complex navigation tasks. He further advanced the field by implementing Linear Quadratic Regulator (LQR) optimal control for precise trajectory tracking of two-wheeled mobile robots, validated on the KHEPERA IV platform (17 citations). His feasibility assessment of the Kian-I mobile robot (17 citations) provided critical insights for real-world autonomous deployment. With a cumulative impact of over 60 citations, Dr. Abbasi’s work is essential reading for students and engineers developing intelligent, self-navigating robotic systems, offering a clear methodology for integrating optimization and control in mobile robotics.