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About

Ivan Peko is a researcher whose work bridges mechanical engineering, robotics, and advanced manufacturing education. His primary research areas include assembly systems, lean manufacturing, assistive robotics, and the integration of artificial intelligence into robotic navigation. Peko’s major contribution lies in addressing the critical gap between academic training and industrial needs, particularly in assembly processes. His highly cited 2017 paper, "Development of Assembly Systems in Lean Learning Factory at the University of Split" (14 citations), established a foundational framework for practical, hands-on learning in mechanical engineering curricula, directly responding to deficiencies in Croatian industrial practice. More recently, Peko has advanced the field of mobile robotics, demonstrating in his 2023 work (4 citations) how artificial neural networks can effectively simulate obstacle detection in virtual environments, offering safer and more efficient training for real-world robot navigation. His 2024 comprehensive analysis of assistive robotics (2 citations) further showcases his commitment to integrating machine learning, robotic vision, and collaborative human-robot systems. Through these efforts, Peko is shaping the future of both engineering education and intelligent robotic systems.