F. Hajiahmadi

Columbus State University, University of Tehran

Papers

Total Citations

H-Index

About

F. Hajiahmadi is a researcher whose work sits at the intersection of robotics, control systems, and renewable energy, with a primary focus on automating the maintenance of solar power plants. His major contributions lie in the development of intelligent robotic carriers and autonomous vehicles (AVs) designed specifically for cleaning solar panels—a critical task for maintaining energy efficiency in dusty environments. His most cited paper, "Machine Learning-Based Control of Autonomous Vehicles for Solar Panel Cleaning Systems in Agricultural Solar Farms" (2024, 15 citations), introduces an ML-driven approach to handle uncertainties and dynamic conditions, marking a significant step toward fully autonomous cleaning operations. Earlier foundational work, including "Dynamics Modeling and Position Control of a Robotic Carrier for Solar Panel Cleaning System" (2019, 10 citations) and "Trajectory Control of a Robotic Carrier for Solar Power Plant Cleaning System" (2019, 6 citations), established robust control strategies for robotic carriers navigating between panel rows. With a cumulative 31 citations across his top papers, Hajiahmadi’s research directly addresses a practical challenge in solar energy, offering scalable solutions that reduce manual labor and improve panel output. His work is particularly notable for bridging machine learning with traditional control theory, making it highly relevant for students and researchers interested in robotics, clean energy, and intelligent automation.