Afshin Kouhkord

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About

Afshin Kouhkord is a researcher specializing in robotics control systems, human-robot collaboration, and intelligent optimization techniques. His work sits at the intersection of advanced control theory and practical industrial automation, with a particular focus on enhancing the precision and safety of robotic systems. Kouhkord's most notable contribution examines trajectory tracking accuracy in 3P robots, where he developed and compared multiple control strategies, culminating in a genetic algorithm-optimized fuzzy logic controller (GA-FLC) that outperforms conventional PID-based approaches. This 2022 study has garnered 13 citations, reflecting its relevance to industrial automation engineers seeking more reliable positioning solutions. His follow-up work in 2023 addresses the increasingly critical domain of human-robot collaboration safety, applying the ISO/TS 15066 Power and Force Limiting framework to design control architectures that protect human operators from accidental contact — a challenge of growing importance as collaborative robots become widespread in manufacturing environments. This paper has already attracted 9 citations since publication. Together, Kouhkord's research portfolio demonstrates a coherent vision: building robotic systems that are not only more precise and efficient, but fundamentally safer and more adaptable to real-world human-centric workplaces. His integration of bio-inspired optimization with fuzzy logic marks him as a promising contributor to intelligent robotics research.