Mehdi Gheisari

Harbin Institute of Technology, Islamic Azad University, Tehran

Papers

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About

Dr. Mehdi Gheisari is a leading researcher in robotics and intelligent control systems, with a particular focus on autonomous navigation and computer vision. His most impactful work centers on optimizing control systems for Automated Guided Vehicles (AGVs), where he developed a novel approach combining Particle Swarm Optimization (PSO) and Beetle Antennae Search (BAS) algorithms to fine-tune PID controllers. This work, published in 2022, has already garnered 53 citations, underscoring its significance for industrial robotics applications ranging from warehouse logistics to hospital transport. Dr. Gheisari has also made notable contributions to human tracking technology, proposing an enhanced algorithm that addresses the complex challenges of real-time human motion detection in dynamic environments—critical for autonomous driving and human-robot interaction. His research bridges theoretical optimization with practical deployment, offering robust solutions for real-world robotic systems. By integrating bio-inspired algorithms with traditional control theory, Dr. Gheisari continues to advance the capabilities of autonomous systems, making them more efficient, reliable, and responsive in both industrial and service-oriented contexts.