Papers
5
Total Citations
42
H-Index
4
About
Engin Karlidag is a robotics researcher whose work focuses on bridging the gap between industrial automation and intelligent, flexible manufacturing. His primary research areas include high-precision robotic assembly, bin picking, virtual commissioning, and human-robot interaction. Karlidag’s most significant contribution lies in developing sensor-guided insertion techniques for lightweight robots, enabling the automated placement of through-hole electronic components—a task traditionally done manually due to high product variability. His work in this area has garnered 17 citations and directly addresses ergonomic strain and labor costs in power electronics production. He has also advanced the field of bin picking by creating virtual commissioning frameworks that use synthetic sensor data to simulate and test automation systems, reducing costly physical setup time. His 2016 paper on universal fine interpolation algorithms for improving industrial robot accuracy further underscores his expertise in precision control. Beyond assembly, Karlidag explores augmented virtuality for teleoperation, aiming to improve user experience and workload during remote interventions. With a portfolio of papers spanning 2016 to 2021, his research consistently targets practical, scalable solutions for Industry 4.0, making him a notable figure in modern robotic automation.
Research Focus
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