Ahmad Al–Qerem
Papers
2
Total Citations
8
H-Index
2
About
Ahmad Al–Qerem is a researcher specializing in robotics, with a particular focus on swarm robotics and electric motor design for robotic systems. His work addresses critical challenges in both collective robot behavior and actuation technology. In his 2019 study on circular shape formation, Al–Qerem introduced a self-adaptive collective motion algorithm for swarm robots, demonstrating how decentralized agents can autonomously organize into precise geometric formations without centralized control—a fundamental contribution to distributed robotics. His 2023 paper, which has garnered 5 citations, proposes a novel synchronous electric motor simulation with built-in permanent magnets tailored for robotic systems. This work provides practical criteria for engine selection based on mechanical design and application requirements, bridging the gap between motor theory and real-world robotic implementation. By comparing different engine types for industrial robots, Al–Qerem offers engineers a systematic framework for optimizing actuation in robotic platforms. Though his citation counts are modest, his research addresses foundational problems in both swarm intelligence and robotic hardware design, making his contributions valuable for students and researchers exploring autonomous systems and robot kinematics.
Research Focus
Key Achievements
Top Papers
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